Data Engineer (Louisiana)

Blue Cross and Blue Shield of Louisiana • Baton Rouge, LA

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About The Position

The Data Engineer develops data integration solutions using data integration tools or other methods, following direction from the agile team’s technical lead and collaborating with Lead Data Engineers, Principal Data Engineers, and the functional manager. The role supports application development and business requirements, ensures compliance with applicable laws and regulations, and follows the software development life cycle to help meet regulatory requirements. The position reports to the Manager of Enterprise Information Management and has no direct reports. The role involves contact with all levels of BCBSLA personnel and outside vendors. Louisiana residency or relocation is preferred. Applicants must be authorized to work in the United States without employer-sponsored immigration support. Duties are performed in a normal, clean office environment with normal noise levels, primarily while sitting or standing. Louisiana Blue properties are smoke- and tobacco-free.

Requirements

• Bachelor’s degree in Computer Science or a related field, or four years of related experience in lieu of a degree.
• At least two years of professional information technology experience, including deployment and support of data integration or API solutions.
• Required experience in at least one of these areas: support of a data warehousing, data mart, data lake, or business intelligence environment; ETL/ELT development with Informatica PowerCenter, DataStage, SSIS, or Azure Data Factory; development with Teradata, Oracle, SQL Server, Data Lake, or Sybase repositories; programming with C#, Python, PL/SQL, SparkSQL, or NoSQL; shared API development for web or cloud applications; or Big Data technologies such as Hadoop, Spark, AI, ML, or NLP.
• Knowledge of data mart, data warehouse, or data lake development; ETL/ELT integration patterns; web- and cloud-oriented systems integration; communication-based systems; and languages such as C#, Python, or Java.
• Ability to independently design, develop, and debug basic ETL/ELT or API solutions from business requirements, with feedback from the team’s technical lead.
• Ability to independently evaluate other people’s test results and become self-sufficient with integration tools.
• Ability to create basic integrations for dimensional databases, data marts, data lakes, and cubes, with feedback from the team’s technical lead.
• Strong analytical, problem-solving, and decision-making skills, including the ability to respond quickly to changing requirements.
• Ability to independently develop unit test plans and test data with feedback from the team’s technical lead.
• Ability to resolve issues in workflows, mappings, stored procedures, and data pipelines.
• Ability to develop basic system and integration test plans, execute test plans, and document results and discrepancies, with feedback from the team’s technical lead.
• Ability to write SQL queries using subqueries and strong knowledge of SQL data types and functions.
• Very good communication and writing skills, with attention to detail.
• Ability to comprehend, document, calculate, visualize, and analyze.
• Must be authorized to work in the United States without employer-sponsored immigration support.

Nice To Haves

• Advanced degree or certification.
• Experience with BI tools or reporting, including SSAS, SSRS, BOE, or Tableau.
• Project management experience.
• Healthcare payer experience.
• Experience working in an agile development methodology.
• DevOps experience, including automation of code or workflow through a release pipeline.
• Data warehousing development lifecycle experience.

Responsibilities

• Analyze data integration requirements and create solutions that support application development efforts.
• Modify and implement database integration solutions to meet business requirements.
• Ensure data integration metadata, lineage, and catalog are captured through configuration and parameterization.
• Develop, execute, and evaluate data quality test plans to ensure data quality meets corporate expectations.
• Provide basic guidance on data integration processes and procedures to Associate Data Engineers and other team members.
• Follow the software development life cycle to help ensure compliance with regulatory requirements.
• Participate in developing strategies for data acquisition, archive recovery, and database or data lake implementation.
• Support data migrations and conversions, and troubleshoot data processing issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level