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Informatica Developer Jobs

457 jobs found

Today

Data Engineer

A.C.Coy Company Pittsburgh, PA

Pittsburgh, PA

Today

$120k - $150k/yr Full time Big Data Data Data Analysis

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Job Description

Onsite in Pittsburgh, PA, this Data Engineer role focuses on building and maintaining scalable data systems that power analytics, business intelligence, and data-driven decisions. You will work directly with engineering and business leadership to shape data strategy while developing robust ETL/ELT pipelines, warehouse models, and cloud-based storage solutions.

What you’ll do

Design, develop, and maintain scalable ETL pipelines using tools such as Informatica, Talend, or custom scripting in Python and Bash.
Build and optimize dimensional data models for data warehouses, aligning structures with business requirements.
Manage and enhance cloud-based data storage solutions including Azure Data Lake and AWS cloud databases.
Develop SQL queries and stored procedures for efficient query management across SQL Server, Oracle, and other relational databases.
Implement big data systems using components from the Hadoop ecosystem, including Apache Hive and Spark.
Collaborate with cross-functional teams to integrate linked data sources and ensure data flows smoothly across platforms.
Support business intelligence dashboard development using Looker or equivalent BI platforms.
Maintain data quality, security, and compliance standards throughout pipeline and modeling work.
Participate in Agile development cycles to deliver iterative improvements.
Assist with model training and analysis tasks that support advanced analytics initiatives.
Write shell scripts or VBA macros as needed to automate routine tasks or support analysis.

What you bring

Must reside in Pittsburgh, PA to be considered.
3 to 5 years of Data Engineer experience.
Hands-on experience with Snowflake, including schema design, warehouse sizing, clustering, time travel, and cost management.
dbt core production experience, including modular models, macros, packages, and incremental materialization.
Experience with ELT.
Experience configuring and operating Airbyte / Fivetran or similar tools for multi-source ingestion.
Experience with Data Warehouse and Data Lakes, including Azure and cloud platforms.
Practical experience with Azure SQL Managed Instance, Storage, and DevOps pipelines.
Strong Python for data sync jobs, API clients, and FastAPI development.
Reporting experience with Tableau or PowerBI.
Education: Degree required. If no degree, then 7+ years of experience.

Tools you’ll work with

Informatica, Talend, Python, Bash, SQL Server, Oracle, Azure Data Lake, AWS, Apache Hive, Spark, Looker, SQL, Snowflake, dbt core, ELT, Airbyte, Fivetran, Azure SQL Managed Instance, Azure, FastAPI, Tableau, PowerBI, VBA, Hadoop.

Compensation and benefits

Pay: $120,000 - $150,000 per year.

401(k)
Dental insurance
Flexible schedule

Work location: In person. Preferred location: Pittsburgh, PA 15120.

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Today

Data Engineer III

Deloitte Washington, DC

Washington, DC

Today

$108k - $180k/yr Full time Analytics Ansible Apache Airflow

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Job Description

Deloitte’s Data Engineer III role sits within the AI & Engineering team and focuses on designing, coding, and administering relational and analytical database solutions. You will help build and orchestrate data pipelines, implement infrastructure and governance for data platforms, and work with clients through platform design evaluations and training.

This position is based in Washington, DC and is onsite, supporting Deloitte’s Government & Public Services (GPS) practice and its work with federal, state, local, and public higher education clients.

What you’ll do

Design, code, test, debug, and document relational and analytical database solutions with a focus on performance, scalability, security, and system integration
Administer cloud-based database platforms using role-based access controls, schema management, performance tuning, capacity planning, and backup, recovery, and disaster-recovery practices
Extract, parse, validate, and transform structured and unstructured data using parameterized SQL, Python, and dbt; build and maintain pipeline orchestration workflows with Airflow and Dagster; and maintain data dictionaries, metadata, and data lineage
Implement governed data sources and calculation logic for dashboard and reporting tools, including Tableau, and test filters, parameters, and user interactions
Develop infrastructure-as-code, configuration management, containerized deployment, and version-controlled CI/CD practices using Terraform, Ansible, and Docker
Conduct platform design evaluations, develop program plans and implementation approaches, design access models that support auditability and separation of duties, and communicate cost, performance, scalability, and reliability tradeoffs; train client personnel on data platforms and workflows

Requirements

Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
7+ years of experience designing and coding databases for big data and administering cloud-based relational and analytical database platforms, including role-based access control and schema management
Experience designing databases for performance, scalability, security, and system integration; building and maintaining data pipeline orchestration workflows using Apache Airflow or Dagster; and developing transformation logic with SQL, Python, and dbt
Experience with infrastructure-as-code, configuration management, and containerization using Terraform, Ansible, and Docker; building version-controlled CI/CD workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
Ability to travel 10-15%, on average
Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies you may use

SQL, Python, dbt
Airflow, Dagster, Tableau
Terraform, Ansible, Docker
CI/CD
Amazon Aurora, Snowflake, Amazon SageMaker, AWS GovCloud

Skills a successful candidate will demonstrate

Ability to work independently and collaborate as part of a team
Effective written and verbal communication
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Team context

Deloitte’s Government & Public Services (GPS) practice focuses on impact through people, ideas, technology, and outcomes
Work spans federal, state, and local government clients as well as public higher education institutions
The AI & Data offering provides a full spectrum of solutions for designing, developing, and operating data and AI platforms, products, insights, and services
Offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities so they can mature and scale effectively

Preferred

Experience using AWS GovCloud database and analytics services, including Amazon Aurora, Snowflake, and Amazon SageMaker
Experience implementing governed data sources and calculation logic for Tableau or business intelligence and data visualization platforms
Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements

Salary: USD 107,700 - 179,500 per year

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Today

Data Engineer

GreenState Credit Union North Liberty, IA 🇺🇸 Remote

North Liberty, IA

Today

$119k - $139k/yr Full time Analytics Automation Developer Azure

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Job Description

The Data Engineer at GreenState Credit Union builds and maintains enterprise data solutions, with a strong emphasis on Microsoft Azure pipeline development to deliver reliable data assets. This role supports data engineering, advanced modeling and ETL work, and the implementation of governance and quality controls.

Responsibilities

Follow the Credit Union's core values and Service Standards while supporting the organization’s mission and vision.
Maintain a consistent member service focus for both internal and external partners.
Work effectively with coworkers to complete assigned duties and responsibilities.
Ensure the confidentiality of member information.
Support a diverse and inclusive work environment.
Develop comprehensive data pipelines using Azure Data Factory, Power BI, and other tools.
Create advanced data models and ETL processes across multiple enterprise systems.
Implement data governance and quality control mechanisms.
Design and maintain complex data transformations using languages such as Python, Spark, SQL, M, DAX, and more.
Develop, maintain, and optimize data solutions.
Collaborate with business stakeholders to translate complex business requirements into technical solutions.
Perform advanced data cleansing and preparation techniques.
Support performance optimization for business unit solutions.
Maintain strong attention to detail.
Take initiative and solve problems independently.
Maintain excellent communication with the Credit Union team and the broader organization.
Participate annually in community service organizations and/or credit union sponsored events to enrich the community.
Perform other duties as assigned.

Requirements

Bachelor’s Degree in Computer Science, Data Engineering, or a related field.
4 to 6 years of experience in data engineering and business intelligence.
Advanced proficiency in ETL processes, specifically in Azure cloud services.
Advanced proficiency in Power BI.
Advanced proficiency in Python.
Advanced proficiency in SQL.
Strong understanding of data modeling and warehouse design.
Experience with cloud data architectures.
Excellent analytical and problem-solving skills.
Financial services industry experience preferred.

Technologies

Microsoft Azure
Azure Data Factory
Power BI
Python
Spark
SQL
M
DAX

Compensation and Location

Location: North Liberty, IA (remote) / Work From Home

Salary Range: USD 119,078 - 139,216 per yearly

Benefits: progressive benefit package

The salary range for this position is $119,078.70 - $139,216.74 with a progressive benefit package.

Reporting and Supervision

Reporting Relationship: Director Data & Analytics
Supervisory Responsibilities: This position is not responsible for the supervision of others.

Equal Opportunity Employment

GreenState Credit Union is an EEO/AA Employer. The organization strongly encourages all individuals to apply for openings with the credit union.

Education

Bachelor's Degree in Computer Science, Data Engineering, or related field

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Today

Senior Data Engineer (Healthcare)

VeeRteq Solutions Inc. Philadelphia, PA

Philadelphia, PA

Today

Full time Senior Analytics Automation Developer

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Job Description

This role is for a Senior Data Engineer to design, build, and support cloud-based data platforms in a healthcare setting. Based in Philadelphia, PA (hybrid), you will work with Azure and Databricks to deliver scalable pipelines, reliable data services, and analytics-ready models for data-driven decision-making.

Location

Philadelphia, PA (hybrid)

Role Responsibilities

Build and maintain ETL and ELT data pipelines.
Develop data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS).
Create and optimize PySpark and SQL data processing frameworks.
Implement Delta Lake and Lakehouse architectures.
Support data migration, modernization, and cloud transformation initiatives.
Ensure data quality, reliability, and performance across pipelines and datasets.
Build data models and curated datasets to support reporting and analytics.
Implement CI/CD, monitoring, and DevOps best practices.
Collaborate with business users, architects, and product teams in an Agile environment.

Required Skills & Technologies

Azure Databricks
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
PySpark
Python
SQL
Delta Lake
Data Modeling
ETL/ELT Development
Azure Cloud Platform
Git & CI/CD
Agile/Scrum

Preferred Skills

Azure Synapse Analytics
Power BI
Azure DevOps
Infrastructure as Code (IaC)
FHIR/HL7
AI/ML Data Pipelines

Required Experience

7+ years in Data Engineering
5+ years with Azure Data Technologies
2+ years in Healthcare, Payer, Health Plan, or Managed Care domains
Experience with large-scale data pipelines and integration solutions

Additional “Nice to Have” Domains

Claims Data
Membership Data
Provider Data
Care Management Data

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Today

Data Engineer - Data Engineer III

Deloitte Rosslyn, VA

Rosslyn, VA

Today

$108k - $180k/yr Full time Analytics Ansible Apache Airflow

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Job Description

Deloitte is hiring a Data Engineer III for its AI & Engineering team. The position focuses on designing, building, and administering relational and analytical database solutions, data pipelines, and governed reporting data sources within an onsite environment in Rosslyn, VA.

Role Summary

The Data Engineer III will develop database and data platform capabilities across performance, scalability, security, and system integration. The role includes cloud database administration, infrastructure-as-code and CI/CD practices, and support for platform design and client enablement.

Responsibilities

Design, code, test, debug, and document relational and analytical database solutions aligned to performance, scalability, security, and system integration requirements
Administer cloud-based database platforms with role-based access controls, schema management, performance tuning, capacity planning, and backup, recovery, and disaster-recovery practices
Extract, parse, validate, and transform structured and unstructured data using parameterized SQL, Python, and dbt; build and maintain data pipeline orchestration workflows using Airflow and Dagster; maintain data dictionaries, metadata, and data lineage
Implement governed data sources and calculation logic for dashboarding and reporting tools, including Tableau, and support testing of filters, parameters, and user interactions
Develop infrastructure-as-code, configuration management, containerized deployments, and version-controlled CI/CD practices using Terraform, Ansible, and Docker
Evaluate platform design options and develop program plans and implementation approaches, including access model design for auditability and separation of duties; communicate tradeoffs related to cost, performance, scalability, and reliability; train client personnel on data platforms and workflows

Required Qualifications

Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
7+ years of experience designing and coding databases for big data and administering cloud-based relational and analytical database platforms, including role-based access control and schema management
Experience designing databases for performance, scalability, security, and system integration; building and maintaining data pipeline orchestration workflows using Apache Airflow or Dagster; and developing SQL, Python, and dbt transformation logic
Experience with infrastructure-as-code, configuration management, and containerization, including Terraform, Ansible, and Docker; building version-controlled CI/CD workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
Ability to travel 10-15% on average based on client needs and industries/sectors served
Legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

SQL
Python
dbt
Airflow
Dagster
Tableau
Terraform
Ansible
Docker

Preferred Qualifications

Experience using Amazon Web Services (AWS) GovCloud database and analytics services, including Amazon Aurora, Snowflake, and Amazon SageMaker
Experience implementing governed data sources and calculation logic for Tableau or business intelligence and data visualization platforms
Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements

Team

Deloitte’s Government & Public Services (GPS) practice is designed for impact. Within Deloitte, the AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services.

Location, Compensation, and Experience

Location: Rosslyn, VA (onsite)
Salary: USD 107,700 - 179,500 per year
Minimum Experience: 7 years
Education: Bachelor’s degree

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Today

Data Engineer

Associated Electric Cooperative, Inc. Springfield, MO

Springfield, MO

Today

Full time Analytics Artificial Intelligence Azure Data Engineer

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Job Description

Join Associated Electric Cooperative’s Plant Asset Management Technology team to help build a digital twin for a fleet of power plants.

Responsibilities

Design lakehouse models and data pipelines that combine telemetry from thousands of sensors and devices with work management and financial data.
Build the data mart and semantic model that supports user-driven analytics.
Create high-level models that connect asset-level predictive models with financial, work management, and operational data for a fleet-wide view of health, risk, and performance.
Partner with business teams responsible for asset models to ensure they connect smoothly into the digital twin.
Integrate financial perspectives into reliability and lifecycle models.
Continuously add operational, planning, and maintenance systems to enrich the digital twin.
Advocate for end users across the organization, from plant floor staff to executives.
Identify better ways to capture, model, and deliver insights, and connect them to the information users need for faster, smarter decisions.
Collaborate with PM, UX, software engineers, and expert stakeholders to convert data, models, and visuals into a web app.
Champion design, value, and quality so each release strengthens the product.
Work in a small, empowered agile product team with a dedicated Product Manager (direct lead), UX designer, software engineers, and analysts.
Iterate in close partnership with plant staff and executives to ensure the web-based product works in real-world usage.

Requirements

Bachelor’s degree in a STEM field (or equivalent experience) with strong foundations in data engineering, system design, and enterprise integration patterns.
Strong proficiency with ETL/ELT, SQL/NoSQL, and cloud-based data platforms, especially Microsoft Azure (Storage Accounts, SQL Databases, Synapse Analytics, Data Factory, Data Lake, Delta Lake).
Deep understanding of data architectures for analytics and data science operations, including data modeling, star schemas, semantic layers, and decoupled integration patterns that scale across the enterprise and support ML/AI workloads.
Ability to build and evolve high-level Databricks models that power the digital twin by combining financial, operational, and reliability data.
Experience integrating asset-level models into fleet-wide views and ensuring they connect seamlessly to the broader platform.
Capability to design clear, dense visualizations, including dashboards, charts, and tools for expert users to explore insights and perform deep analytics.
Familiarity with best practices (for example, Stephen Few’s work) is a plus.
Comfort with scripting/programming (Python or similar) to automate pipelines and integrate with downstream systems.
Bonus: ability to communicate effectively with software engineers and guide how data integrates into the UI.
Ability to understand business processes, clarify the “why” behind requirements, and connect technical decisions to business value.
Excellent communication skills to navigate technical and business discussions, align diverse teams, and lead initiatives without formal authority.

Technologies

Azure
Databricks
Delta Lake
Azure SQL
Cosmos DB
Azure Web Apps
Python
C#
ETL
ELT
SQL
NoSQL
Azure Storage Accounts
Synapse Analytics
Azure Data Factory
Azure Data Lake
SQL Databases
Data Lake
Star schemas
Semantic layers
ML/AI

Benefits

Total compensation package based on experience and contributions.
401(k) program with a generous employer match.
PTO and paid holidays.
Premier healthcare plan including medical, dental, and vision coverage for you and your family.

Location: Springfield, MO (onsite)

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Today

Data Engineer

VeeRteq Solutions Inc. Philadelphia, PA

Philadelphia, PA

Today

Full time Analytics Automation Developer Azure

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Job Description

VeeRteq Solutions Inc. is hiring a Senior Data Engineer in Philadelphia, PA 19160 (hybrid). The role focuses on building and leading enterprise-grade data platforms, with hands-on development across Azure and Databricks. This position blends architecture, pipeline engineering, and technical leadership to support analytics, AI/ML, and data-driven business initiatives.

What you will work on

You will design, build, and lead scalable data platform capabilities, including data lakes and lakehouse solutions. The work includes modernizing cloud data architectures, improving performance and reliability, and partnering with business and technical teams to deliver trusted data for downstream use cases.

Design and build scalable data platforms, data lakes, and lakehouse solutions
Develop and optimize ETL/ELT pipelines using Azure and Databricks
Lead data architecture, data modeling, and cloud modernization initiatives
Mentor data engineering teams and help establish best practices
Enhance platform performance, scalability, security, and cost efficiency
Implement CI/CD, monitoring, and production support processes
Collaborate with business leaders, architects, analysts, and product teams
Support analytics, reporting, AI/ML, and other data-driven initiatives

Core skills and technologies

Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Data Factory (ADF)
PySpark, Python, Advanced SQL
Delta Lake and Data Lakehouse Architecture
Data modeling and ETL/ELT development
Azure Cloud Services, Git and CI/CD
Agile/Scrum

Additional tools and platforms you may use include Azure Synapse Analytics, Azure Event Hub, Kafka, Power BI, Azure DevOps, Terraform, Data Governance & Metadata Management, Monitoring & Observability Tools, and AI/ML Data Pipelines.