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Informatica Engineer Jobs

22 jobs found

Today

Senior Data Engineer

Brooksource New York, NY 🇺🇸 Remote

New York, NY

Today

$65 - $85/hr Full time Senior Analytics API

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Job Description

Brooksource is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support advanced analytics and business intelligence. This role centers on building robust data frameworks using big data technologies and cloud platforms, with an emphasis on data modeling and reliable data delivery across the organization.

Responsibilities

Architect and optimize enterprise-grade ETL pipelines using Informatica, Talend, Apache Spark, and Apache Hive
Design and maintain scalable data architectures on AWS, Azure Data Lake, and other public cloud environments
Partner with cross-functional teams to capture requirements and translate them into scalable data solutions
Create and implement dimensional data models for data warehousing and analytics
Oversee data integration workflows involving linked data, RESTful APIs, and external sources
Ensure data quality, security, and compliance throughout the data lifecycle
Enable machine learning model deployment by integrating data pipelines efficiently
Leverage SQL, Python, Java, and Bash/Shell scripting to automate and optimize processes
Participate in agile ceremonies and pursue continuous improvement within sprint cycles
Document data workflows and architecture diagrams to support transparency and knowledge sharing

Requirements

Demonstrated experience as a Data Engineer or similar role with emphasis on big data systems and cloud architectures
Deep knowledge of AWS services (S3, Redshift, Glue), Azure Data Lake, Hadoop ecosystem components, and other public cloud offerings
Strong proficiency in SQL databases including Microsoft SQL Server, Oracle, and cloud-native databases
Hands-on ETL/ELT development with tools like Informatica or Talend
Expertise in data modeling techniques, including dimensional modeling for enterprise data warehouses
Proficiency in programming and scripting languages such as Python, Java, VBA, Bash scripting
Experience with business intelligence tools like Looker or similar platforms for reporting and analysis
Understanding of RESTful API integration for linked data access
Analytical capabilities related to database design, query management, model training, and analytics methodologies
Experience working in Agile environments to deliver iterative value in fast-paced settings

Technologies

Informatica
Talend
Apache Spark
Apache Hive
AWS
Azure Data Lake
Hadoop
S3
Redshift
Glue
Microsoft SQL Server
Oracle
SQL
Python
Java
VBA
Bash scripting
Shell Scripting
Looker
RESTful API

Compensation

Pay: $65.00 - $85.00 per hour

Location

New York, NY (Remote)

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Today

Lead Data Engineer / Data Architect

Glint Tech Solutions LLC Charlotte, NC

Charlotte, NC

Today

Full time Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics

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Job Description

This on-site opportunity in Charlotte, NC focuses on shaping enterprise data strategy and modernizing platforms across architecture modernization, migrations, and cloud-native microservices.

Responsibilities

Design and own enterprise data architecture to support high-volume retail eCommerce operations.
Develop and maintain ETL and ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks with PySpark.
Model conceptual, logical, and physical data structures for efficient storage and retrieval.
Implement data warehousing approaches such as dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault.
Lead database migrations and microservices migrations toward unified, cloud-native solutions.
Integrate data from databases, APIs, and external providers via API integrations and message queues.
Embed metadata management and governance within cloud-based data platforms.
Guide and mentor cross-functional engineering teams, shaping technical strategy and stakeholder communications.

Requirements

8+ years of overall experience with at least 1 year in an Architect-level role.
3+ years of hands-on Azure Data Factory and Azure Synapse Analytics experience.
Deep Microsoft Azure expertise including Data Lake Storage, Databricks, PySpark, Cosmos DB, and PostgreSQL.
Strong SQL proficiency for complex queries, transformations, and cloud performance tuning.
Experience with Azure MI, Cosmos DB, Analysis Services, and Informix.
Proficiency in Python and Python-based ETL tools.
Shell scripting experience — Bash, Unix, or Windows.
Proven ability to lead teams, define technical strategy, and communicate across organizational levels.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
PySpark
Data Lake Storage
Cosmos DB
PostgreSQL
SQL
Python
Bash
Unix
Windows
Azure MI
Analysis Services
Informix
Elasticsearch
Docker
Kubernetes
Delta Lake
Delta Lakehouse
Data Mesh
Data Vault

Nice-to-have skills

Elasticsearch experience
Docker and Kubernetes familiarity
Performance tuning and pipeline optimization expertise
Azure, Databricks, or relevant cloud certifications

Company overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

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1d ago

Staff Engineer II - Senior Data Engineer

Western Alliance Bank Phoenix, AZ

Phoenix, AZ

1d ago

Full time Senior Analytics Azure Data Factory

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Job Description

Western Alliance Bank invites a Staff Engineer II - Senior Data Engineer to shape the enterprise data platform with emphasis on safety, security, compliance, and reliability. You will lead a centralized data engineering team and partner with data stewards, analysts, engineers, enterprise architects, and business stakeholders to deliver scalable data capabilities.

What you gain in this role includes:

Competitive salaries
Ownership stake in the company
Medical and dental insurance
Time off
Great 401k matching program
Tuition assistance program
Employee volunteer program
Wellness program

Location: Phoenix, AZ on-site (Block 23)

Responsibilities

Design, develop and deploy data engineering solutions using Azure Data Factory, Azure Synapse Analytics, and Azure DevOps to support regulatory reporting and the LFI strategy.
Create reusable data engineering solution designs ready for hand‑off to execution teams, maximizing efficiency by component reuse.
Build ETL and data pipeline capabilities that account for data creation, transformation, storage, archiving, analysis, and sharing across Western Alliance Bank and partner systems.
Implement Azure DevOps CI/CD pipelines for all data solutions in alignment with technical standards.
Apply Test Driven Development to all designed, built, and implemented data solutions.
Lead the implementation of outcomes and designs from Data Governance and Enterprise Architecture.
Oversee migration of multidimensional cubes to tabular models to optimize analytics and performance.
Use Power BI to design, deploy, and visualize tabular cubes for seamless business intelligence.
Conduct data exploration and profiling with tools such as Excel and Informatica.
Actively participate in data architecture decision making.
Provide technical mentorship to team members and other data professionals.
Collaborate with product owners and business stakeholders to understand requirements and operational processes.
Embed built-in quality and compliance-by-design in all data solutions.
Review Azure Data Factory pipelines, Synapse artifacts, and other scripts to ensure deliverables meet quality standards.

Requirements

Bachelor’s degree in engineering or a related field; Master’s or MBA preferred.
7+ years of data engineering experience covering ETL concepts, enterprise data warehouses, database principles, and related tools; strong preference for Azure Data Factory, Azure Synapse Analytics, and/or Databricks.
2+ years designing, implementing, and supporting cloud data solutions with Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience preferred.
Advanced experience with at least one RDBMS and query language (T-SQL, PL/SQL, Spark SQL).
Advanced data modeling skills across conceptual, logical, and physical layers.
Azure certifications such as Fundamentals, Data Engineer, Data Scientist, and/or DevOps Engineer preferred.
Familiarity with data science and analytics tools (SAS, Tableau, Power BI).
Experience with multi-cloud data management and transformation platforms or tools (e.g., Databricks, Snowflake).
Experience in Agile, SAFe, and/or Scrum frameworks preferred.
Experience integrating with data quality, data catalog, and data lineage tools preferred.
Previous leadership experience preferred.
Knowledge of financial services or banking environments preferred.
Strong understanding of regulatory and legal compliance obligations, industry standards, and practices.
Proven ability to lead cross-functional teams and manage multiple projects concurrently, including pipeline development with Azure DevOps.
Strategic thinker with the ability to align projects with organizational goals, motivate teams, and manage risks.
Excellent written and verbal communication skills.
Up to 25% travel may be required.

Technologies we work with

Azure Data Factory
Azure Synapse Analytics
Azure DevOps
Azure Data Lake
Azure Logic Apps
Power BI
Excel
Informatica
Databricks
Snowflake
SAS
Tableau
Azure Data Services
T-SQL
PL/SQL
Spark SQL

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2d ago

Data Engineer Staff

Lockheed Martin Corporation Lexington, KY

Lexington, KY

2d ago

Full time Analytics Big Data Business Analytics

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Job Description

The Data Engineer Staff role at Lockheed Martin in Lexington, KY, encompasses delivering end-to-end data solutions across the complete processing pipeline while ensuring security, performance, and DoD/SOFSA compliance.

Location

Lexington, Kentucky, hybrid work arrangement.

Responsibilities

Build, test, and maintain robust data pipelines (batch and streaming) that clean, transform, and aggregate raw data into analytic-ready data stores.
Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.
Develop automated data management conduits that support machine learning data flows.
Collaborate with the Data Architect to create conceptual, logical, and physical data models aligned with business needs.
Define functional capabilities, security, backup, and recovery specifications for each solution.
Design and maintain systems that collect, store, and present data across the enterprise.
Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.
Deploy, monitor, and optimize ETL/ELT processes (Informatica, Talend) and related reporting/analytics layers.
Develop data mining and data warehousing programs to enrich the enterprise data ecosystem.
Identify and resolve production incidents; tune system parameters for optimal throughput and latency.
Evaluate, integrate, and validate new releases or platform upgrades.
Manage the compilation, cataloging, caching, distribution, and retrieval of data and maintain test data records.
Define and enforce best-practice standards, certification processes, and metadata management policies for data objects.
Participate actively in the Data Governance Working Group.
Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Assist early-stage risk identification and mitigation for task order activities.
Support Critical Design Reviews and advise Integrated Product Teams on data-related risks and mitigation strategies.
Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.
Prepare and release engineering drawings and associated data system documentation.
Advise on and design the integration of new data technology solutions into the SOFSA enterprise IT environment.
Advise higher-level leadership on critical data management issues and emerging technology trends.
Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.
Assess and address methodological limitations to ensure reliable data delivery.
Read, interpret, write, modify, and execute simple scripts on Windows and UNIX systems for parsing large files and automating tasks.
Record, manage, and validate test data.
Establish data security controls, develop data dictionaries, and apply data mining techniques.
Perform data pre-processing and transformation analytics, including imputation, normalization, reduction, enrichment, and processing.

Requirements

Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree preferred.
Data mining and data warehousing principles.
Database management systems, query languages, table relationships, and views.
Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
DataOps processes and best practices.
Data-security roles and responsibilities; ability to implement access-control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.

Technologies

Hadoop, Java, Python, SQL, Hive, PIG
Informatica, Talend
IBM Cloud Pak for Data
AWS, Azure, GCP
PERL, VBS
Microsoft Power BI Report Server
Deltek COBRA
Microsoft SharePoint
SAP, Teamcenter
PowerShell
Oracle SQL Server, Microsoft SQL Server

Benefits

Flexible schedules
Competitive pay
Comprehensive benefits

Security Clearance

This position requires a government security clearance; U.S. citizenship is required for consideration.

Clearance Level

Secret

Other Important Information

Expression of Interest: By applying to this job, you express interest and may be considered for other opportunities with matching skills.
Ability to Work Remotely: Part-time remote telework combined with work at a Lockheed Martin facility; weekly schedule discussed during hiring.
Work Schedules: Various alternate schedules supported, including standard and condensed options; Paid Time Off benefits apply.
Schedule for this Position: Non-standard 40 hour work week as assigned by leader

Experience Level

Experienced Professional

Business Unit

Missiles and Fire Control (S0806)

Relocation Available

Possible

Career Area

Data Science

Type

Task Order/IDIQ

Shift

First

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2d ago

Data Engineer AI

Quest Global Sunnyvale, CA

Sunnyvale, CA

2d ago

$105k - $110k/yr Full time Analytics Artificial Intelligence Business Intelligence

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Job Description

Quest Global is expanding its data capabilities in Sunnyvale with a Data Engineer AI who will design and maintain data pipelines, validate datasets, and translate findings into AI-enabled solutions that inform business decisions. This onsite role emphasizes collaboration with cross-functional teams to turn data into actionable insights and to advance AI integration across offerings.

Location

Sunnyvale, CA (onsite)

Compensation

USD 105,000 - 110,000 per year

Responsibilities

Perform root cause analysis on processes and data to identify improvement opportunities and answer questions
Design and deploy data transformation pipelines, manage workloads, structure data, and handle dependencies and metadata
Run data validation checks, correct errors, and uphold quality throughout the data lifecycle
Explore datasets to uncover trends, patterns, and insights
Analyze data for stakeholders and non-technical audiences and build models to produce actionable insights for efficient business decisions
Build data pipelines that cleanse, transform, and aggregate data from diverse sources
Collaborate with data to address business problems and maintain the infrastructure that enables questions and process improvements
Streamline data science workflows to enhance product offerings and contribute to customer lifecycle and retention models

Requirements

Snowflake
SQL
AI integration
Agentic AI
Tableau

Technologies

Snowflake
SQL
Tableau
ThoughtSpot
Python
Excel
Numbers
Quip
Keynote
Miro
Slack
datarobot

Benefits

401(k) matching
Dental insurance
Health insurance
Paid time off
Vision insurance
Employer paid Life Insurance, Short- & Long-Term Disability

Benefits begin on day one

401(k) matching
Dental insurance
Health insurance
Paid time off
Vision insurance
Employer paid Life Insurance, Short- & Long-Term Disability

What you will bring

Develop and enhance data visualization tools using Tableau and ThoughtSpot
Work with Snowflake and its built-in infrastructure, SQL, Python, Excel, and Numbers
Utilize presentation and collaboration tools such as Quip, Keynote, Miro, and Slack
Familiarity with machine learning tools like datarobot
Project management experience
Provide support to a wide range of business teams
Strong interpersonal, relationship-building, communication, and presentation skills

Work requirements

You must be able to commute to Sunnyvale with your own transportation to meet required working hours
Shop floor environment may involve extensive walking and the ability to lift up to 40 lbs

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11d ago

Senior Data Engineer

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

11d ago

$92k - $164k/yr Full time Senior Azure Data Factory Big Data

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Job Description

Optum is seeking a Senior Data Engineer to design, build, and maintain enterprise ETL pipelines that power Medicaid analytics and the enterprise data warehouse. The role is based in Eden Prairie, MN with remote work options, and offers a yearly salary range of USD 91,700 to 163,700.

Responsibilities

Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory, Informatica PowerCenter, and Python based frameworks
Build and optimize scalable data processing solutions employing Python, Spark, and Databricks
Support Medicaid analytics and federal reporting initiatives including T MSIS, PERM, MARS, and Quality of Care
Develop robust data validation, reconciliation, and auditable data pipelines
Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
Participate in cloud migration and modernization efforts within Azure based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Adhere to data engineering best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Requirements

5+ years of data engineering experience with a focus on enterprise data warehousing
5+ years of hands on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
5+ years of Python development for data engineering and automation
5+ years of Teradata experience
3+ years of experience with Spark based processing frameworks (Databricks or equivalent)
Solid SQL expertise and experience with relational databases such as Snowflake, Oracle, and SQL Server
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Proven analytical, problem solving, and troubleshooting skills
Ability to travel periodically based on project or customer needs

Technologies

Python
Azure Data Factory
Informatica PowerCenter
Spark
Databricks
Azure
Snowflake
Oracle
SQL Server
Teradata
Azure DevOps
GitHub
CI/CD
PowerShell
Bash
REST API

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

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12d ago

Lead Software Engineer - Python, AWS, Data, Agentic AI

JPMorganChase Houston, TX

Houston, TX

12d ago

Full time Backend Developer Python Amazon Emr

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Job Description

Lead Software Engineer role at JPMorganChase in Houston, TX, onsite, focused on secure, scalable Python and AWS data workflows with agentic AI capabilities across multiple business functions.

Responsibilities

Design, implement, and troubleshoot software solutions with innovative approaches to tackle complex problems.
Deliver secure, production-grade code; review and debug code produced by teammates.
Identify and automate recurring remediation to boost the stability of applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectures, credentials, and fit within existing information architecture.
Drive communities of practice across Software Engineering to promote adoption of new and leading-edge technologies.
Support a team culture centered on diversity, opportunity, inclusion, and respect.

Requirements

Formal training or certification in software engineering and application development, plus 7+ years of hands-on experience.
Hands-on expertise in Python and/or Java with a proven record of secure, production-quality code.
Extensive experience building cloud-native solutions on AWS, including compute, storage, security/IAM, networking, and observability.
Strong background with large language models and agentic systems, covering orchestration patterns, tool calls, retrieval, structured outputs, evaluations, and safety guardrails.
Experience delivering data-intensive applications and workflows using Databricks (Spark, Delta Lake, jobs/workflows).
Proficiency in JavaScript/TypeScript and React for modern web applications.
Automation and continuous delivery proficiency, with solid SDLC discipline (CI/CD, testing, code quality, release controls).
Advanced understanding of agile delivery, application resiliency, and secure engineering practices.
Strong system design skills with the ability to make pragmatic trade-offs and align stakeholders.

Technologies

Python
Java
JavaScript
TypeScript
React
AWS
EC2
EKS
RDS
S3
Lambda
EMR
Glue
Databricks
Spark
Delta Lake
PySpark
Hadoop
Snowflake
Airflow

Benefits

Comprehensive health coverage, including medical, dental, and vision
On-site health and wellness facilities
Retirement savings plan
Backup childcare support
Tuition reimbursement
Mental health resources and support
Financial coaching and planning services

$95k - $110k/yr Full time Azure Data Factory Azure Synapse Analytics Data

2mo ago

Senior Data Engineer

First Help Financial Needham, MA 🇺🇸 Remote

Needham, MA

2mo ago Closed

$60k - $90k/yr Full time Senior Cloud Cloud Platform

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