Data Engineer

Analytica is  looking for an experienced  ETL Data Engineer to design, build, optimize, and support scalable data pipelines using Informatica and AWS. You’ll work closely with data architects, analysts, and business stakeholders to ensure reliable, secure, and high-quality data delivery across enterprise systems. 

This role is ideal for someone who enjoys solving data integration challenges, improving performance and reliability, and contributing to modern cloud-based data platforms. 

This role is a remote opportunity. 

 Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business.  We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.  

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  Design, develop, and maintain ETL workflows using Informatica (PowerCenter and/or IICS) 

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  Build and optimize cloud-based data pipelines and integrations on AWS 

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  Develop and support ingestion, transformation, and loading processes from multiple source systems (SQL, APIs, flat files, etc.) 

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  Implement and maintain data quality, validation, and reconciliation checks 

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  Manage scheduling, dependencies, and monitoring of ETL jobs; troubleshoot failures and performance issues 

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  Collaborate with data architects to implement target models in data lakes/warehouses 

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  Ensure pipelines follow security, governance, and compliance standards 

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  Contribute to best practices for CI/CD, version control, environment promotion, and deployment automation 

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  Document ETL design, mappings, lineage, and operational processes 

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  Participate in on-call or production support rotations as needed 

• 7+ years of hands-on ETL/data engineering experience 

• Strong experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS) 

• Experience building data solutions in AWS, including services such as:  

• S3, IAM, CloudWatch 

• Glue, Lambda, Step Functions 

• Redshift, RDS, or Aurora 

• Strong SQL skills (query optimization, joins, windowing, performance tuning) 

• Python scripting for automation or integration support 

• Experience with data warehouse concepts and dimensional modeling 

• Familiarity with SDLC practices and version control tools (Git, Bitbucket, etc.) 

• Ability to troubleshoot pipeline failures and performance bottlenecks independently 

• Strong communication skills and comfort working cross-functionally 

• Experience with Informatica Cloud connectors and Cloud Data Integration patterns 

• Exposure to Databricks or modern lakehouse platforms 

• CI/CD pipeline experience (Jenkins, GitHub Actions, Azure DevOps, etc.) 

• Experience with metadata management, lineage, and governance tools 

• Familiarity with Agile/Scrum methodologies 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.