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16d ago

Data Engineer Snowflake

Capgemini Miami, FL

Miami, FL

16d 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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16d ago

Data Engineer-Consultant AI&E

Deloitte Jericho, NY

Jericho, NY

16d ago

Full time Aws Data Engineer Aws Data Engineering Big Data

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Job Description

The Data Engineer-Consultant role supports Deloitte in designing, developing, and operationalizing scalable healthcare data platforms and integration pipelines for healthcare claims and payment ecosystems. The position is onsite in Jericho, NY and includes regular collaboration with engagement and project stakeholders.

Role Overview

As a Data Engineer-Consultant, you will lead healthcare data engineering work across domains that include claims, payments, member and provider eligibility, and medical and pharmacy data. You will translate requirements into data platform capabilities, integration pipelines, and operational outcomes, coordinating with project teams and functional and technical representatives throughout delivery.

Key Responsibilities

Design, develop, and operationalize scalable healthcare data platforms
Design and develop integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from functional and/or technical teams, including escalation of matters requiring additional engagement management attention and consideration

Required Qualifications

4+ years of experience designing healthcare data platforms
Deep knowledge of the Cigna Medicare business
Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10% on average, based on work activities and client and industry/sectors served

Technologies

Teradata
Databricks
AWS
Informatica
ETL

Preferred Qualifications

Analytical and decision-making responsibilities
Ability to manage multiple projects and prioritize tasks into manageable work products
Capability to operate independently or with minimum supervision
Excellent written and communication skills
Ability to deliver technical demonstrations

Applicant Accommodation Information

For applicants who need accommodation, please reference Deloitte’s assistance page: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html.

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16d ago

Data Analyst / Data Engineer & Reporting Specialist

Unified Business Technologies Inc Fort Belvoir, VA

Fort Belvoir, VA

16d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Unified Business Technologies Inc supports Army enterprise data management by turning complex datasets into reliable analytics, visualizations, and reports. In this onsite role in Fort Belvoir, VA, you will help design and run end-to-end data pipelines, strengthen data quality and governance, and deliver reporting outputs that support operational decision-making.

As a Data Analyst / Data Engineer & Reporting Specialist, you will organize enterprise data for analytical and mission needs, build ETL and ELT workflows, and maintain the schemas and metadata that make data usable across teams. You will also validate reporting accuracy and refine dashboards and analytical products as mission requirements change.

Responsibilities

Organize, structure, and align enterprise data supporting Army analytical and mission requirements.
Design and maintain data relationships, models, schemas, and supporting metadata.
Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines.
Build workflows for data extraction, transformation, integration, and delivery.
Optimize data flows across cloud platforms, enterprise systems, and operational databases.
Perform data quality assessments and resolve data inconsistencies.
Maintain metadata catalogs, data definitions, and data governance documentation.
Work with stakeholders to identify analytical requirements and improve data accessibility.
Design and maintain dashboards, reports, visualizations, and analytical products.
Ensure reporting outputs comply with approved security, governance, and access control requirements.
Validate report accuracy and improve the clarity of data visualizations.
Prepare user training materials, reporting documentation, and data usage guidance.
Support ongoing improvements to analytics products as mission requirements evolve.

Required Qualifications

Approximately 4+ years of data analytics, data engineering, business intelligence, or reporting experience.
Experience developing ETL or ELT workflows.
Proficiency in SQL and experience working with relational databases or cloud-hosted datasets.
Experience using a reporting or data visualization platform such as Power BI or Tableau.
Familiarity with Python or comparable data processing technologies.
Understanding of enterprise data modeling, metadata management, and data quality practices.
Experience integrating data from multiple systems.
Ability to translate stakeholder requirements into meaningful analytical reports and visualizations.

Technologies

SQL
Power BI
Tableau
Python
ETL
ELT

Preferred Qualifications

Experience with Azure Data Factory, AWS Glue, Databricks, or similar data engineering platforms.
Experience with Power BI (including DAX and Power Query) or enterprise reporting solutions.
Familiarity with government data governance and access controls.
Experience building dashboards for senior leadership or operational stakeholders.
Previous experience supporting military or federal data environments.
Microsoft Power BI Data Analyst Associate (PL-300) or comparable certification.

Security Requirements

T-3 required under the PWS.

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16d ago

Data Engineer

Ibotta Denver, CO

Denver, CO

16d ago

$110k - $126k/yr Full time Application Security Automation Aws Clean Rooms

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Job Description

The Data Engineer will join Ibotta’s Publisher Data Platform (PDP) team to build infrastructure, support a publisher-facing data marketplace with standards, and enable governed data sharing with publisher partners.

Role Focus

This position emphasizes practical data platform engineering for secure external data exchange. Work includes provisioning and operating the platform, implementing governance controls, and supporting reliable, compliant data delivery to publisher partners through multiple sharing methods.

Key Responsibilities

Build and maintain Terraform used to provision the data platform, with Databricks on AWS as a primary component.
Implement robust engineered controls across the data platform to align with data governance policies.
Develop and support secure external data exchange using Databricks Clean Rooms, AWS Clean Rooms, Delta Sharing, and Remote File Shares.
Automate audit evidence collection and reporting to support InfoSec, legal, and third-party compliance reviews.
Identify, design, and implement improvements to platform operations, including automating manual processes, optimizing data delivery, and designing infrastructure for reliability and performance.
Handle incident resolution, participate in workspace health monitoring, optimize cloud costs, and join an on-call rotation.
Use modern AI-assisted development thoughtfully, with independent validation of code, tests, system behavior, and correctness.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
3+ years of software engineering experience focused on data platform engineering, external data sharing integrations, or backend development.
Proficiency in Python and SQL, familiarity with distributed data processing patterns, and experience operating governed data environments.
Experience with Medallion Architecture (bronze/silver/gold) or similar layered data design patterns, including building big data pipelines for transformation, metadata, dependency management, and workload orchestration.
Proven ability to collaborate with cross-functional engineering teams and maintain effective partnerships.
Ability to understand other teams’ requirements, translate them into actionable technical requirements, and collaborate on project prioritization.
Experience provisioning and managing cloud infrastructure (AWS, GCP, or Azure) with Terraform and maintaining reusable deployment modules.
Hands-on experience with AWS and Databricks; practical experience with Databricks Asset Bundles (DABs) is highly preferred.
Understanding of tenant isolation, clean rooms, data privacy, and compliance requirements in a cloud context, with a focus on secure-by-default systems.

Tools and Technologies

Terraform
Python
SQL
Databricks
AWS
GCP
Azure
Databricks Clean Rooms
AWS Clean Rooms
Delta Sharing
Remote File Shares
Databricks Asset Bundles (DABs)
Medallion Architecture

Compensation and Benefits

Base pay range: USD 110,000 - 126,000 per year
Equity included in the overall compensation package
Competitive pay
Flexible time off
Benefits package including medical, dental, and vision
Employee Stock Purchase Program
401k match
Denver office perks include paid parking, snacks, and occasional meals

Location, Schedule, and Employment

Location: Denver, CO (hybrid)
Office requirement: 3 days in the office (Tuesday, Wednesday, and Thursday)
Employment type: Full time
Department: Technical - Engineering

Additional Information

Candidates must live in the United States.
Not based in Denver? A relocation bonus may be offered to support a move to Denver.
Ibotta is an Equal Opportunity Employer.
Applicants must be currently authorized to work in the United States on a full-time basis.
Applications are accepted until the position is filled.
Employees are responsible for secure handling of data per security policies, identifying and reporting phishing attempts, and reporting security incidents to the proper channels.

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16d ago

Data Engineer II

Love's Travel Stops Oklahoma City, OK

Oklahoma City, OK

16d ago

Full time Azure Data Engineer Cloud Cloud Data Warehouse

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Job Description

Fuel Your Growth with Love's as you design and deliver data solutions that strengthen enterprise data and analytics capabilities. This onsite role in Oklahoma City, OK supports reliable, accessible, and actionable information through modern pipelines, integration processes, and data management practices.

Love's Travel Stops is a family-owned and operated business headquartered in Oklahoma City, with a culture built on innovation and community impact. With nearly 40,000 team members, you will work alongside teams focused on delivering value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers.

What you’ll do

Design, build, maintain, and optimize data pipelines for acquisition, ingestion, transformation, staging, modeling, and delivery.
Develop data integration solutions using ETL/ELT, data replication, change data capture, messaging technologies, APIs, and other data movement methods.
Evaluate and qualify source data to support master, reference, and transactional data requirements.
Perform data assessment, mapping, migration, validation, enrichment, and loading activities.
Create reusable data models and solution components using established data engineering and modeling practices.
Build and support data solutions across data warehouse, data lake, data hub, and related data-management environments.
Integrate large, complex, and heterogeneous datasets from internal and external sources.
Develop solutions that are reliable, secure, scalable, maintainable, with an emphasis on automation and operational efficiency.
Develop and maintain complex SQL queries, procedures, transformations, and data-validation processes.
Apply DataOps and DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.
Troubleshoot data quality, integration, performance, and production-support issues, escalating highly complex matters when appropriate.
Contribute to front-end and back-end development when needed to deliver end-to-end data solutions.
Collaborate with business and Technology partners to translate data requirements into effective technical solutions.
Use AI-powered development tools such as GitHub Copilot, Claude Code, or similar technologies to improve delivery speed, quality, documentation, automation, and consistency across the DataOps lifecycle.
Research and recommend tools, technologies, and practices to improve data engineering capabilities and team productivity.
Share knowledge and provide technical support to team members within the scope of assigned work.
Perform other job-related duties as assigned.

What you’ll bring

Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field (typically required).
Two or more years of related experience in data engineering, data integration, data warehousing, or a related technical discipline (required).
Experience building and supporting data pipelines, integration solutions, large or varied datasets, cloud-based data platforms, and modern data-management environments (required).
Working knowledge of data engineering, data integration, data warehousing, and data-management principles.
General proficiency with cloud data warehouse platforms, preferably Snowflake, and with developing and optimizing complex SQL.
Experience with ETL/ELT tools and methodologies, data modeling, reusable solution components, and Git or similar version-control tools.
Understanding of automated build, testing, deployment, monitoring, and release-management practices.
Experience with data replication and change data capture tools, such as Fivetran or HVR.
Experience with messaging and data movement technologies such as Azure Service Bus, Apache NiFi, or Apache Kafka.
Experience with APIs and API-based data acquisition and integration.
Knowledge of data governance, metadata management, data quality, and master-data concepts.
Understanding of solution architecture and its impact on design, development, testing, implementation, and ongoing support.
dbt experience is strongly preferred.
Preferred: Python or R, Microsoft SQL Server, SAP HANA, Tableau, Power BI, and AI-powered development tools.
Ability to analyze and resolve issues of moderate scope using established procedures, sound judgment, and appropriate escalation.
Ability to manage changing priorities, collaborate effectively, and communicate technical information to technical and nontechnical audiences.
Strong written and verbal communication, analytical skills, problem-solving, troubleshooting, accountability, initiative, and attention to detail.
Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.

Benefits at Love’s Travel Stops

Fuel Your Growth with Love's - company funded tuition assistance
Paid Time Off
401(k) with 100% match up to 5%
Medical/Dental/Vision Insurance after 30 days
Competitive Pay
Career Development

Additional job details

Requires prolonged sitting, some bending and stooping.
Frequent computer and screen use, with manual dexterity sufficient to operate a computer keyboard and calculator.
Occasional lifting up to 25 pounds.
Requires normal range of hearing and vision.
Additional hours may be necessary.

Our culture

Fueled by the mission to fueling customers’ journeys since 1964, Love’s is an inclusive workplace where giving back to communities is a hallmark of its award-winning culture. As a family-owned and operated company headquartered in Oklahoma City, Love’s combines innovation with values that support team members and the communities they serve.

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16d ago

Data Engineer - AI-Enabled Capacity Analytics

Comcast Corporation Philadelphia, PA

Philadelphia, PA

16d ago

$109k - $163k/yr Full time Ai Ml Artificial Intelligence Automation

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Job Description

Comcast’s National Traffic and Capacity Management (NTCM) team is building trusted data solutions that help improve network capacity planning and optimization for next-generation products. As a Data Engineer III onsite in Philadelphia, you’ll design and deliver scalable pipelines and planning applications, with opportunities to apply machine learning and AI-assisted analysis in support of forecasting and operational decision-making.

This role focuses on engineering reliable data flows, adding automated quality controls, and operationalizing models and analytics workflows across batch and streaming datasets.

What you’ll do

Design, develop, test, deploy, and support scalable data applications, planning tools, APIs, and data pipelines for network capacity planning and analysis.
Build and optimize ELT and ETL processes across batch and streaming datasets.
Develop automated processes for data quality checks, anomaly detection, master data management, metadata management, lineage, and monitoring.
Develop, tune, and fine-tune machine learning and AI models; evaluate performance and integrate models into production data applications and workflows.
Implement automation for recurring workflows, including orchestration, validation, monitoring, and issue notification.
Perform ad hoc data analysis and support AI-assisted insight generation.
Optimize and monitor data-intensive processes and applications, identifying and resolving performance, scalability, and data-quality issues.
Create and maintain clear documentation for data pipelines, software specifications, system designs, processes, and support procedures.
Apply sound practices for versioning, testing, privacy protection, cybersecurity, regulation compliance, governance, responsible AI, and monitoring of data and AI solutions.
Collaborate with network engineering, product, operations, software development, and data science partners to translate requirements into reliable technical solutions.
Adapt to evolving business priorities while maintaining solution quality and delivery commitments.
Proactively identify risks, dependencies, and improvement opportunities, escalating issues early and driving resolutions independently.

What you bring

5-7 years of relevant work experience and 5+ years minimum experience for the role.
Strong proficiency in SQL and Python (or similar languages), with experience in data engineering, data quality, data product development, application development, or data analytics.
Hands-on experience building production data applications using AWS, Databricks, Spark, or comparable cloud and distributed-processing technologies.
Deep experience building, monitoring, and optimizing large-scale data pipelines and data-intensive applications.
Working knowledge of machine learning workflows, including model development, deployment, evaluation, and monitoring.
Familiarity with ML or data science models and AI-enabled analytics, including LLM, RAG applications, AI agents, or model tuning and fine-tuning workflows.
Experience with system design, data architecture design, integration, version control, CICD, testing, deployment, and production support.
Experience with BI tools such as Tableau or Power BI for reporting, visualization, EDA, and data analysis.
Knowledge of metadata management, lineage tracking, data-quality frameworks, anomaly detection, testing, and monitoring practices.
Familiarity with workflow orchestration tools such as Airflow is a plus.
Familiarity with networking, telecommunications, capacity management, or network deployment is preferred.
Strong analytical and problem-solving skills, including debugging complex data issues and performance bottlenecks.
Demonstrated ownership across design, development, testing, deployment, documentation, and ongoing support.
Ability to learn new technologies quickly and communicate effectively across technical and business teams.

Tools and technologies

SQL, Python
AWS, Databricks, Spark
ELT, ETL
Machine learning, AI models
LLM, RAG, AI agents
Tableau, Power BI
Metadata management, lineage tracking
Airflow
CICD

Compensation and location

Location: Philadelphia, PA (onsite)
Salary range: USD 108,578 - 162,868 per year
Note on pay range: Base pay offered within the range based on job-related, non-discriminatory factors including experience.

Additional details

Education: Bachelor’s Degree (preferred)
Visa sponsorship: Not eligible for visa sponsorship. Must be legally authorized to work in the United States and not require sponsorship now or in the future.
Application window: 30 days from the date the job is posted, unless the number of applicants requires it to close sooner.

Benefits

Best-in-class Benefits to eligible employees
An array of options, expert guidance, and always-on tools
Personalized support physically, financially, and emotionally

Comcast intends to assign this role to support network capacity planning and optimization for products including EOHFC, EPON vBNG, and FDX.

Disclaimer: This information is designed to indicate the general nature and level of work performed by employees in this role and is not intended to be a complete inventory of duties, responsibilities, or qualifications.

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16d ago

Senior Analytics Engineer

Good Inside New York, NY

New York, NY

16d ago

$185k - $195k/yr Full time Senior Amplitude Apache Airflow

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Job Description

Good Inside is building analytics infrastructure that keeps product decisions grounded in trustworthy data. This Senior Analytics Engineer role owns the data foundation behind the product, spanning dbt models, Amplitude tracking, and subscription lifecycle modeling, so Product can move quickly with confidence. The position is hybrid in Manhattan with three days onsite.

What you’ll do

Design and maintain clean, modular dbt models for product events, engagement, and the member journey, covering onboarding and activation through retention.
Create well-documented transformations so Product trusts the metrics and definitions.
Maintain Amplitude event taxonomy and tracking plans.
Work with PMs and engineers to ensure new features ship with the right events, keeping definitions aligned across app and web.
Model the subscription lifecycle, including trials, conversions, upgrades, churn, and reactivations, and connect it to product behavior in partnership with Engineering and Finance.
Set up testing, monitoring, and alerting.
Catch inconsistencies early, improve freshness, and reduce situations where teams wait on or question data.
Answer high-impact Product questions directly with funnel and cohort analysis, experiment readouts, and churn or propensity models when needed.
Lead with clear recommendations based on analysis.
Build the semantic layer and dashboards in Omni and Amplitude so routine questions can be answered without waiting on Data.
Partner across Product, Engineering, and Data Analytics, weigh in on architecture decisions that affect downstream data, and mentor others on the team.
Balance competing priorities while maintaining high standards.

What we’re looking for

8+ years in analytics engineering, data engineering, or product analytics, including at least 2 years supporting a product team.
Hands-on dbt experience in production.
Expert SQL and strong Python for modeling, pipelines, and analysis.
Experience with a modern data warehouse such as Snowflake and orchestration/ingestion tools like Airflow or Fivetran (or similar).
Deep experience with event-driven product data and Amplitude (or Mixpanel/Heap), including owning event taxonomy and tracking plans.
Strong subscription business knowledge, including trial conversion, retention cohorts, LTV, churn, and exposure to Stripe or app store billing data.
A track record of analysis that changed what got built, with grounding in experimentation and statistics.
Experience designing clean, modular, well-tested data models for analytics use.
Proficiency with Git and collaborative engineering workflows.
Ability to make sound architectural decisions without heavy oversight, balancing speed and long-term maintainability.
Comfort using AI-assisted development tools to increase velocity while maintaining accuracy.
Clear communication style that starts with a recommendation, thriving in fast-moving environments.

Technologies you’ll work with

dbt, Amplitude, SQL, Python, Snowflake, Airflow, Fivetran
Mixpanel, Heap, Omni, Git, Stripe

Bonus points

Direct-to-consumer subscription experience, including app store and web purchase flows and gaps between them.
Data science experience with churn or propensity modeling, survival analysis, or causal inference.
Experience with pricing, packaging, or paywall experimentation.
Mobile app analytics and attribution.
Familiarity with Segment, Braze, and BI semantic layers (Omni a plus).
Experience mentoring analysts or teaching stakeholders to self-serve.

Compensation and benefits

Salary: USD 185,000 - 195,000 per year
Company Equity
Comprehensive benefits package
401k + company match
Time off to recharge
Hybrid work environment
High-ownership, high-performance, high-collaboration culture

About the opportunity

Good Inside is seeking a Senior Analytics Engineer to own the data foundation behind the product. The role builds models, tracking, and pipelines that help explain how parents discover, adopt, and return to Good Inside, and it includes answering Product’s most important questions directly. This is a full stack role weighted toward analytics engineering, based in Manhattan with three days onsite.