Analytica
Analytica is seeking a
Data Engineer
to support one or more dynamic, long-term federal government enterprise data programs. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale AWS and/or Databricks based data environments. You will support designing, maintaining, automating and optimizing ETL operations ensuring data quality and efficient data management. Responsibilities include (but not limited to): Design, build, and optimize scalable data solutions using a Medallion Architecture. Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple workspaces. Integrate data from various structured and unstructured sources to enable high-quality business insights. Proficiency in data analysis techniques for deriving insights from large datasets. Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations. Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. Collaborate with the team to enable advanced AI-driven analytics and data science workflows. Basic Qualifications: 5+ years of hands-on Data Integration experience creating and maintaining efficient scripts/data pipelines to clean, transform and ingest data from a variety of formats into database tables, data warehouses or data lake repositories. 3+ years of experience using SQL and Python to manipulate, profile and build data products Strong Experience building data pipelines using Databricks and/or AWS serverless components; using AWS Glue to build, maintain and monitor ETL jobs; using Python to implement ETL scripts and AWS Secrets Manager to manage credentials. Databricks and/or AWS Data Engineer Certification is strongly preferred. Proficient written, verbal, and client communication and presentation skills Must be US Citizen and be able to obtain and maintain a Public Trust security clearance 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 laws
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Data Engineer
to support one or more dynamic, long-term federal government enterprise data programs. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale AWS and/or Databricks based data environments. You will support designing, maintaining, automating and optimizing ETL operations ensuring data quality and efficient data management. Responsibilities include (but not limited to): Design, build, and optimize scalable data solutions using a Medallion Architecture. Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple workspaces. Integrate data from various structured and unstructured sources to enable high-quality business insights. Proficiency in data analysis techniques for deriving insights from large datasets. Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations. Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. Collaborate with the team to enable advanced AI-driven analytics and data science workflows. Basic Qualifications: 5+ years of hands-on Data Integration experience creating and maintaining efficient scripts/data pipelines to clean, transform and ingest data from a variety of formats into database tables, data warehouses or data lake repositories. 3+ years of experience using SQL and Python to manipulate, profile and build data products Strong Experience building data pipelines using Databricks and/or AWS serverless components; using AWS Glue to build, maintain and monitor ETL jobs; using Python to implement ETL scripts and AWS Secrets Manager to manage credentials. Databricks and/or AWS Data Engineer Certification is strongly preferred. Proficient written, verbal, and client communication and presentation skills Must be US Citizen and be able to obtain and maintain a Public Trust security clearance 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 laws
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