Miami, FL

Engineer Jobs in Miami, FL

50 jobs found

Include remote jobs

Today

Marketing AI Engineer

Avenue Z, Inc. Miami, FL

Miami, FL

Today

$100k - $120k/yr Full time Backend Developer Marketing Ad Tech

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Job Description

Avenue Z, Inc. is hiring a Marketing AI Engineer to design, build, and ship production-ready AI agents, automations, and reporting systems that support paid media and client growth. This onsite role in Miami brings technical leadership to how agents are reviewed, documented, and released across service lines, while partnering closely with paid media, creator, affiliate, CRO, and ecommerce teams.

You will turn manual, repetitive workflows into systems that can move quickly without sacrificing brand safety or commercial judgment, and you will help standardize the agent delivery process through code and design review.

What you’ll do

Build and ship AI agents, automations, and reporting systems that run paid media, creator and affiliate campaigns, CRO, and client reporting at Avenue Z.
Integrate with the Meta Marketing API, TikTok Business and TikTok Shop APIs, Google Ads API, Snap, Shopify, and affiliate and creator platform APIs, including OAuth and token refresh, rate limits, webhooks, and partnership-access flows.
Create agents and automations for ad launching and QA, budget pacing and reallocation, creative tagging and performance intelligence, anomaly detection, and cross-platform commission tracking.
Build a reporting layer that shows what drove revenue, cross-referenced against Shopify as the source of truth.
Work with paid media, creator and affiliate, CRO, and ecommerce teams to audit current workflows from input to output and identify steps that should run automatically.
Convert messy manual processes into working systems inside weeks, including defining where human approval is required versus where the system can act on its own, especially when money or brand safety is involved.
Drive adoption through team training, feedback collection, and iterative improvements.
Provide technical leadership on the product roadmap, including standard-setting for how agents and automations are designed, reviewed, documented, and shipped across service lines.
Review and mentor engineers working on AI automation across PR, SEO and AEO, organic social, and ecommerce; unblock teammates and raise the quality bar.
Run intake and prioritization of automation requests based on revenue impact, time saved, or client retention.
Report progress, blockers, and measured impact to the CTO and present updates to leadership.
Build systems that create business advantages, including examples such as autonomous media buying, creative-to-landing-page pipelines, and creator performance ranking.

Requirements

Background in growth marketing, including hands-on paid media experience on Instagram and Facebook, Google, or TikTok, with understanding of campaign structure, pixels and events, attribution windows, creative testing, and interpreting results.
Hands-on experience with the Meta Marketing API and the TikTok Business or TikTok Shop APIs, plus other marketing platform APIs such as Google Ads and Shopify and Klaviyo and affiliate and creator platforms, with proof of building against them beyond reading documentation.
Deep, current, hands-on knowledge of how the digital marketing industry operates, including where manual work sits and what clients pay for.
Extensive hands-on experience with AI coding tools (such as Claude Code, Cursor, Codex, or similar) and strong coding practice, including version control, code review, environment and secrets management, testing, and documentation.
Experience leading others who build, such as principal engineer, founder, lead engineer, technical team lead, or leadership over product managers, and demonstrated ability to set and enforce a quality bar.
Experience building AI agents and automations in production, including prompts, tool use, approval gates, error handling, and monitoring, using an appropriate stack (Python or TypeScript, agent frameworks, and workflow platforms such as n8n or Make).
A portfolio of projects or code repositories you can walk through.
Based in, or relocating at your own expense to, Miami or Orlando; onsite.

Technologies you’ll work with

Meta Marketing API
TikTok Business API
TikTok Shop API
Google Ads API
Snap
Shopify
Klaviyo
Claude Code
Cursor
Codex
Python
TypeScript
n8n
Make
OAuth
Webhooks

Compensation and benefits

Salary: USD 100,000 - 120,000 per year
Medical, vision, and dental plans
401(k) plan with 4% employer match
Unlimited PTO
Professional development stipend

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Today

Senior Databricks Data Engineer

CGI Group, Inc. Miami, FL

Miami, FL

Today

$92k - $204k/yr Full time Senior Azure Azure Databricks

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Job Description

CGI Group, Inc. is hiring a Senior Databricks Data Engineer in Miami, FL (hybrid) to lead end-to-end delivery of scalable enterprise data integration solutions.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, Apache Spark, Python/PySpark, and SQL
Build batch and incremental data integration pipelines from files, databases, and enterprise data sources
Create reusable, maintainable data processing solutions
Optimize Spark workloads for performance, scalability, reliability, and cost efficiency
Implement data quality controls including reconciliation, monitoring, and error handling
Own the complete engineering lifecycle: requirements analysis, solution design, technical review, implementation, and deployment
Prepare and present technical solution designs for architecture and engineering review
Apply review feedback and implement approved designs
Make technical decisions and proactively resolve engineering challenges
Maintain accountability for deliverables, quality, timelines, and production readiness
Develop complex SQL transformations for cleansing, enrichment, and aggregation
Design and maintain curated datasets, dimensional models, and reporting views
Support enterprise analytics, reporting, and downstream data consumers
Implement and maintain pipeline orchestration using Airflow, Databricks Workflows, or comparable tooling
Apply CI/CD practices for version control, automated deployment, and release management
Troubleshoot pipeline failures and production performance issues
Collaborate with data architects, integration teams, engineering teams, and business stakeholders
Document technical designs, implementation decisions, and operational procedures

Requirements

Minimum 5 years of relevant experience in data engineering, data integration, or related disciplines
Strong, recent hands-on development experience with Databricks
Proven experience designing, building, and implementing production ETL/ELT pipelines
Advanced proficiency in Apache Spark, PySpark, and Python with demonstrated hands-on engineering experience
Strong SQL skills including complex joins, window functions, data transformations, and query performance tuning
Experience with at least one major cloud platform: AWS, Azure, or GCP
Experience with workflow orchestration: Apache Airflow, Databricks Workflows, or equivalent platforms
Experience with CI/CD, source control, and automated deployment of data pipelines
Ability to independently own the full development lifecycle including solution design, technical review, implementation, and production support
Ability to evaluate requirements, make sound technical design decisions, and implement approved solutions
Strong problem-solving skills with a track record of independent execution, accountability, and ownership in fast-paced environments

Technologies

Databricks
Apache Spark
Python
PySpark
SQL
Airflow
Databricks Workflows
CI/CD
AWS
Azure
Google Cloud Platform (GCP)
Delta Lake
Unity Catalog
REST API

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Compensation

USD 91,800 - 203,800 per year (estimated U.S. range)

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Nice to Haves

Calling external APIs from Databricks notebooks (REST API integration, authentication, request handling, ingestion of API responses)
Streaming and event driven data processing
Delta Lake and medallion architecture
Unity Catalog, governance and lineage
Metadata driven and reusable pipeline frameworks
Enterprise scale Databricks implementations
Experience with complex enterprise data integration environments
API clarification: consuming/calling APIs from Databricks notebooks qualifies; building/exposing APIs is not required, and candidates without API experience remain eligible
Strong analytical skills, independent execution, technical documentation, collaboration across teams, and experience working in Agile delivery environments
Spark performance tuning and cost optimization
Batch and incremental data processing
Data quality, reconciliation, monitoring, and observability
Data warehousing, fact/dimension modeling, and curated data layers
Production troubleshooting and operational reliability
Technical documentation and design review participation
Cross functional communication and Agile delivery

CGI anticipates accepting applications for this position through November 13, 2026.

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8d ago

Salesforce Engineer – Marketing Cloud & Salesforce Experience

Debt Consultants Group Miami, FL

Miami, FL

8d ago

$30 - $35/hr Full time Marketing Ampscript Application Support

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Job Description

Debt Consultants Group is seeking a Salesforce Engineer to design, configure, and maintain Salesforce applications with a strong focus on system integration and end-user experience across Marketing Cloud and Salesforce Experience. This in-person role in downtown Miami supports multi-channel campaign execution, audience and data workflows, and reliable connected experiences between marketing and CRM platforms.

You will work on marketing automation components such as journeys, email templates, CloudPages, and analytics while also handling API-based synchronization, compliance, and governance activities. Candidates must be able to commute daily and bring a completed Salesforce Marketing Cloud project for an in-person presentation.

Role Overview

Develop and optimize multi-channel customer journeys in Marketing Cloud Journey Builder, including triggered sends, decision splits, and engagement-based paths.
Build and deploy HTML/AMPscript email templates in Email Studio with responsive design, brand compliance, and high deliverability performance.
Manage Data Extensions, publication lists, and suppression lists; use SQL in Automation Studio for segmentation and audience building.
Integrate Marketing Cloud with Salesforce CRM (Sales/Service Cloud) using Marketing Cloud Connect, REST/SOAP APIs, and custom middleware to support data synchronization.
Implement dynamic personalization and logic using AMPscript and Server-Side JavaScript (SSJS) for emails and landing pages.
Create and maintain Automation Studio workflows including scheduled imports, data transforms, SQL activities, and SFTP file transfers.
Develop interactive CloudPages with HTML, CSS, AMPscript, and SSJS for microsites, preference centers, and form-based data capture.
Configure and interpret Marketing Cloud Intelligence (Datorama) dashboards and standard reports to track KPIs such as open rates, CTR, bounce rates, and ROI.
Apply CAN-SPAM, GDPR, and CCPA compliance practices and manage sender authentication via SPF, DKIM, and DMARC, including monitoring IP warming for inbox placement.
Partner with marketing, IT, and business stakeholders to translate requirements into technical solutions, maintain documentation, and support Salesforce best practices and platform governance (roles, permissions, and security settings).
Preference for hands-on experience with social media advertising platforms such as Meta Ads Manager, LinkedIn Campaign Manager, or X (Twitter) Ads, including desirable familiarity integrating social ad audiences with Marketing Cloud via Advertising Studio or Audience Builder.

In-Person Project Presentation Requirement

Bring and present a completed Salesforce Marketing Cloud project during the in-person interview.
Demonstrate hands-on work such as Journey Builder flows, Email Studio templates, Automation Studio workflows, and/or API integrations.
Walk through design choices, technical challenges encountered, and measurable outcomes delivered by the project.

Requirements

5 years of experience in Marketing with Salesforce (Required).
This is an in-person role located in downtown Miami, FL, and daily commuting is required.
Bring and present a completed Salesforce Marketing Cloud project to the in-person interview (Required).
Miami, FL 33130 (Required).

Technologies

Salesforce, Salesforce Marketing Cloud, Sales/Service Cloud
Journey Builder, Email Studio
HTML, AMPscript, SSJS
Data Extensions, Automation Studio, SQL
Marketing Cloud Connect, REST APIs, SOAP APIs
CloudPages
Marketing Cloud Intelligence (Datorama)
CAN-SPAM, GDPR, CCPA, SPF, DKIM, DMARC, IP warming, SFTP
Meta Ads Manager (Facebook/Instagram), LinkedIn Campaign Manager, X (Twitter) Ads
Advertising Studio, Audience Builder

Benefits

Competitive salary and comprehensive benefits
Work on meaningful, high-impact projects
Collaborative and innovative team environment
Opportunities for professional growth and development

Job Type: Full-time

Location: Miami, FL (onsite)

Pay: $30.00 - $35.00 per hour

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9d ago

Data Engineer Snowflake

Capgemini Miami, FL

Miami, FL

9d ago

$39 - $61/hr Contract Application Support Business Systems CI/CD

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Job Description

Capgemini is hiring a hands-on Data Engineer to design, optimize, and support enterprise data solutions on the Snowflake platform. This contract role is based onsite in Miami, FL, and emphasizes building scalable pipelines, reliable integrations, and secure, high-performing data products.

Role Overview

The position focuses on developing and maintaining data pipelines and ELT/ETL frameworks, improving Snowflake performance and cost efficiency, and ensuring data quality through monitoring and automation. You will also provide production support, perform troubleshooting, and contribute to governance, security, and compliance practices.

Responsibilities

Design and develop data pipelines using Snowflake, SQL, Python, dbt, and Matillion.
Build and maintain ELT/ETL frameworks and data integrations.
Optimize Snowflake performance, scalability, and cost efficiency.
Implement data quality, monitoring, and automation solutions.
Support production incidents, troubleshooting, and root cause analysis.
Collaborate with Architecture, Analytics, Platform Engineering, and Business teams.
Follow SDLC, governance, security, and compliance standards.

Required Qualifications

5+ years of Data Engineering experience.
Strong expertise in Snowflake.
Strong SQL skills and query optimization experience.
Python proficiency.
Experience with dbt.
Experience with Matillion.
Data modeling and data warehousing experience.
Experience with GitHub, CI/CD, and production support.
Strong problem-solving and analytical skills.

Technologies

Snowflake
SQL
Python
dbt
Matillion
ELT/ETL
GitHub
CI/CD
AWS
Salesforce
Fivetran
Striim
Control-M
Snowflake Cortex

Preferred Skills

SnowPro Certification.
Experience with Fivetran, Striim, Control-M, AWS, or Salesforce integrations.
Exposure to Snowflake Cortex, AI/ML enablement, and automation frameworks.

Key Competencies

Strong ownership and accountability.
Automation and continuous improvement mindset.
Excellent troubleshooting and RCA skills.
Effective stakeholder communication and collaboration.

Contract Details

Location: Miami, FL, United States (onsite)
Job Type: contract
Salary: USD 39 - 61 per hourly
Minimum Experience: 5 years

Benefits

Medical
Dental
Vision
Retirement benefits

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10d ago

Forward Deployed AI Engineer

Avenue Z, Inc. Miami, FL

Miami, FL

10d ago

Full time Backend Developer Python Agentic Ai

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Job Description

Forward Deployed AI Engineer needed to build and ship production agent systems for Avenue Z brands and platform, owning problems from diagnosis through evaluation and deployment.

Responsibilities

Embed with teams across performance media, creator and influencer, ecommerce, and analytics to find where throughput drops or money is left on the table, then build a production agent that owns the fix.
Partner with business units to diagnose throughput and margin loss, and deliver a working agent within the first few weeks.
Develop production-grade agent systems including tool use, planning loops, memory, retrieval (RAG), orchestration, and human-in-the-loop approval gates for scenarios involving money or brand safety.
Integrate deeply with the revenue platforms and ecosystems: TikTok Shop, TikTok Ads, Meta, Instagram, Amazon, Shopify, Google, Snap, plus affiliate and creator APIs.
Build data pipelines and analytics infrastructure that connect creator content, ad spend, and attributed GMV into a single view.
Create an evaluation harness with the agent; ensure nothing ships without measurable correctness.
Own key infrastructure components: APIs, queues, authentication, token refresh, observability, error handling, rate limits, and cost controls.
Instrument every system with metrics tied to outcomes (examples listed in role): hours returned, cycle time reduction, spend efficiency, GMV, or revenue supported.
Document solutions, drive adoption with the teams that use them, and iterate after launch.
Own the full lifecycle end to end: discovery, architecture, build, deploy, evaluations, adoption, and production issues that arise at all hours.

Requirements

Computer science or another technical background, or equivalent hands-on experience as a developer or self-taught AI-native builder.
3 to 5 years building and shipping software that other people depended on.
Ability to read, write, and debug Python or TypeScript.
Experience deploying and maintaining real services with an understanding of what happens underneath.
Hands-on experience building LLM agent systems including function and tool calling, RAG, orchestration, prompt and context engineering, and agent evals.
Experience integrating third-party marketing, ad, or commerce APIs.
Comfort with cloud infrastructure (AWS or GCP), containers, CI/CD, and SQL.
Fluency with AI coding tools such as Claude Code and Cursor.
Understanding of performance marketing concepts: ROAS, CAC, attribution, creative testing, funnel mechanics, and affiliate or creator economics.
Entrepreneurial mindset with high agency.
Ability to communicate with senior executives or heads of ecommerce in their language and translate business problems into a system without a translator.

Technologies

Python, TypeScript
LLM agent systems; function and tool calling; RAG; orchestration; prompt and context engineering; agent evals
AWS, GCP; containers; CI/CD; SQL
Claude Code, Cursor
TikTok Shop, TikTok Ads, Meta, Instagram, Amazon, Shopify, Google, Snap
OAuth, webhook replay

Benefits

Competitive salary + equity package
Comprehensive medical, dental, and vision plans
401(k) plan with employer match
Unlimited paid time off policy to support work-life balance
Professional development opportunities and budget

Nice to have

Direct experience with TikTok Shop, Meta Ads, or Amazon Seller/Ads APIs
Background at a DTC brand, an ecommerce platform, a creator or affiliate network, or a performance agency
Prior forward deployed, applied AI, or founding engineer experience

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12d ago

Lead Cloud Data Engineer

Baptist Health South Florida Miami, FL

Miami, FL

12d ago

$129k - $167k/yr Full time Backend Developer Apache Airflow Application Security

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Job Description

Baptist Health South Florida is seeking a Lead Cloud Data Engineer to partner with multiple teams on designing, building, and maintaining data systems and applications. In this Florida onsite role, you will help deliver scalable, reliable, automated data pipelines and provide production support with adherence to defined service levels, with a strong focus on healthcare data security and compliance.

What you will do

Collaborate closely with cross-functional teams to design, build, and maintain data systems and applications.
Analyze data storage structures and implement performant automated pipelines that are reliable and scalable in a fast-growing data environment.
Apply data modeling principles and modern data platform knowledge to design and implement data pipeline solutions.
Provide production support while adhering to defined SLA(s).
Test and validate deliverables using industry best practices and communicate effectively with peers in technology teams.

Required experience and qualifications

Self-starter with strong organization, problem-solving, and learning skills.
Strong technical skills and demonstrated attention to detail.
Knowledge of data security, compliance, and policies in healthcare services.
Experience testing and validating according to industry best practices, with effective communication to technology peers.
Strong interpersonal skills plus written and oral communication ability across all levels of the organization.
Bachelor’s degree in computer science or related.
At least 10 years with a Bachelors, and at least 8 years with a Masters (recent experience) in data engineering and end-to-end automation of data pipelines.
Strong understanding of relational and NoSQL databases and data structures.
Understanding of data science and business intelligence workflows.
Programming experience ideally in Python and Java.
Experience with large-scale data warehousing and analytics projects, including AWS technologies.
Proven track record of successful written communication, with technical depth and business awareness.
Experience with machine learning toolkits.
Experience in production support and troubleshooting.
10+ years hands-on with modern data platforms (including Snowflake, Redshift).
10+ years hands-on in data warehouse design/architecture with AWS and Data Vault 2.

Additional preferred and platform experience

Experience with dimensional or dimensional modeling, orchestration tools like Airflow and Control-M, and containerization (Docker and Kubernetes).
Experience with CloudFormation and Terraform, plus AWS services such as S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, and RDS.
Agile methodology and DevOps process experience.
Modern data integration tools experience such as dbt or Informatica Power Center, including AWS Glue or similar.
3+ years of data modeling, with familiarity with AI/ML and BI tools (a plus).
Big Data Engineering, Python, and SQL.
Healthcare dimensional modeling experience designing star and snowflake schemas for healthcare analytics, clinical quality measures, operational efficiency, and revenue cycle reporting.
Medical ontologies and semantics experience, including mapping internal hospital codes to standardized vocabularies such as ICD-10, SNOMED-CT, LOINC, and RxNorm.
Google Cloud Platform production engineering experience, including GCS, Dataproc, BigQuery, Cloud Run, Cloud Run Functions, and Cloud Composer.
Cloud security and identity experience, including role-based access control with Cloud IAM and securing credentials with GCP Secret Manager, with observance of strict HIPAA rules for PHI.
Python and PySpark experience, including tuning distributed jobs, handling partition skew, and optimizing Spark resource allocation.
dbt experience using dbt Core and/or dbt Cloud, including reusable SQL models, automated testing, and data dictionary documentation.
Workflow orchestration experience using Apache Airflow (Cloud Composer) and enterprise schedulers like Control-M.
Enterprise data governance experience integrating pipelines with Collibra for business glossaries, technical dictionaries, and automated lineage tracking.

Salary and role details

Location: Florida (onsite)
Estimated salary range: USD 128,671 - 167,273 per year, depending on experience
Experience level: 10+ years

Technologies

SQL, Python, Java
AWS: S3, Hadoop, Hive, Redshift, AWS, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS
Snowflake, Data Vault 2
Airflow, Control-M
Docker, Kubernetes, CloudFormation, Terraform
dbt, Informatica Power Center
Healthcare standards: ICD-10, SNOMED-CT, LOINC, RxNorm
GCP: Google Cloud Platform, Google Cloud Storage (GCS), Dataproc, Spark, PySpark, BigQuery, Cloud Run, Cloud Run Functions, Cloud Composer, Cloud IAM, GCP Secret Manager
Security/compliance: HIPAA, PHI
Governance: Collibra

Benefits

Career growth and development opportunities, with clear pathways and ongoing support
Comprehensive health and wellness resources beyond traditional benefits
A wellness program that can help employees eliminate their medical plan deductible, reducing out-of-pocket healthcare costs
Tuition reimbursement to support continued learning and advancement

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13d ago

Principal Data Engineer

Univision communications inc Miami, FL

Miami, FL

13d ago

Full time Big Data Data Architecture Data Engineer

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Job Description

Univision Communications Inc (TelevisaUnivision/Univision) is seeking a Principal Data Engineer to lead the design, development, and deployment of the data platform that powers ViX. This role combines technical strategy with hands-on work across real-time and batch pipelines, plus an analytics data warehouse used to drive business decisions.

Location: Miami, FL (onsite)

What you will do

Build reference implementations, frameworks, and reusable libraries for data engineering teams, including ingestion templates, dbt and Airflow patterns, and Pulumi IaC modules
Lead the design of real-time pipelines on Pub/Sub and Dataflow, covering event schemas, schema registry and evolution, exactly-once processing, watermarking, and late-data handling
Own assigned pipelines end to end, from design and development through testing, deployment, and production support
Ensure data quality, integrity, security, and availability across the data ecosystem
Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to translate business requirements into technical solutions
Contribute to data architecture discussions and long-term platform strategy
Collaborate with stakeholders to find opportunities for process improvements and operational efficiencies
Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency, including BigQuery query and storage costs
Monitor, troubleshoot, and resolve data pipeline and platform issues, and contribute to incident reviews
Implement best practices for data governance, observability, testing, and CI/CD
Lead incident response for severe data incidents, run blameless postmortems, and drive systemic fixes
Mentor and support junior data engineers through technical guidance, code reviews, and knowledge sharing
Contribute to architectural decisions and engineering best practices
Participate in technical interviews and help grow a high-performing data engineering team
Evaluate and drive adoption of emerging technologies, including AI-assisted engineering workflows and LLM-enabled data tooling, while maintaining strong quality and security standards

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience
12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
2+ years in a tech-lead role setting technical direction across teams
Demonstrated experience mentoring and developing junior and mid-level engineers
Proven track record designing and running real-time data platforms in production at high volume (for example billions of events per day)
Expert-level knowledge of Google Cloud Platform data services, especially BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Composer, and Cloud Storage
Deep experience designing real-time and event-driven architectures with exactly-once semantics, late-arriving data, and schema evolution
Mastery of Python and SQL, and data transformation frameworks such as dbt
Deep knowledge of stream processing concepts: event time vs. processing time, windowing, watermarks, exactly-once delivery, and backpressure; experience with Kafka, Flink, or Spark
Expert understanding of data modeling for analytics, including dimensional modeling, event modeling, and lakehouse table formats such as Apache Iceberg
Strong experience with Infrastructure as Code (Pulumi or Terraform), CI/CD, and automated testing for data pipelines
Demonstrated ownership of data reliability: SLOs, data observability, incident management, and postmortems
Demonstrated success reducing cloud data platform cost at scale
Excellent written, verbal, and presentation skills, including design documents and communication with technical and executive audiences
Excellent problem-solving skills and the ability to design scalable, efficient solutions
Strong attention to detail and ability to manage multiple priorities
Outstanding communication and collaboration skills across technical and non-technical teams
Continuous improvement mindset and passion for mentoring and knowledge sharing
Passion for mentoring junior engineers and building a strong engineering culture

Eligibility requirements

Must be authorized to work in the United States
Employment/education will be verified
Applicants must be currently authorized to work in the United States on a full-time basis

Technologies

BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Composer, Cloud Storage
Python, SQL, dbt, Apache Airflow
Pulumi, Terraform, Kafka, Flink, Spark
Apache Iceberg, Infrastructure as Code (IaC), CI/CD
LLM-enabled data tooling, AI-assisted engineering workflows

About the team

The Data Engineering team designs, builds, and operates high-volume, high-velocity data pipelines that power ViX, including playback and engagement events, subscription data, advertising data, and the analytics data warehouse used to support business decisions. The team partners closely with Engineering, Product, Data Science, and Analytics teams across TelevisaUnivision.

Preferred qualifications

Experience in subscription, streaming video (OTT), media, or sports organizations, including playback quality, engagement, and ad-supported (AVOD) data
Experience supporting ML and data science workloads, such as feature pipelines, real-time features, recommendation, and personalization data
Experience with data contracts, schema registries, and data catalog or lineage tools