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Data Engineer
Data EngineerABI Document Support Services, Inc. • Loma Linda, CA, United States
Data Engineer

Data Engineer

ABI Document Support Services, Inc. • Loma Linda, CA, United States
5 days ago
Job type
  • Full-time
Job description

Description

ABI Document Support Services is seeking a highly skilled Data Engineer with proven experience in Power BI and data pipeline development. This person will ideally work onsite out of the Loma Linda, CA office Tuesday, Wednesday and Thursdays and remote Mondays and Fridays .

The ideal candidate will design, build, and maintain scalable data infrastructure to support analytics and reporting needs across the organization. You'll work closely with business stakeholders and analysts to ensure data accuracy, performance, and accessibility.

  • Design, build, and maintain ETL / ELT pipelines for structured and unstructured data from various sources.
  • Develop and manage data models , data warehouses , and data lakes to support analytics and BI initiatives.
  • Create and optimize Power BI dashboards and reports , ensuring accurate data representation and performance.
  • Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
  • Implement and maintain data quality, governance, and security standards .
  • Monitor and optimize data pipeline performance , identifying bottlenecks and opportunities for improvement.
  • Integrate data from multiple systems using tools such as Azure Synapse , Microsoft Fabric, SQL , Python , or Spark .
  • Support data validation, troubleshooting, and root cause analysis for data inconsistencies.
  • Document data processes, architecture, and system configurations.

Qualifications

Required :

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 4-6 years of experience as a Data Engineer , BI Developer, or related role
  • Strong proficiency in SQL and data modeling techniques .
  • Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices).
  • Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS).
  • Familiarity with cloud data platforms (Azure, AWS, or GCP).
  • Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema).
  • Preferred :

  • Experience with Python or Scala for data processing.
  • Knowledge of Azure Synapse , Databricks , or similar technologies.
  • Understanding of CI / CD pipelines and version control systems (Git).
  • Exposure to data governance and security frameworks .
  • Soft Skills

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Detail-oriented with a focus on data accuracy and integrity.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • WHO WE ARE

    ABI Document Support Services is the largest nationwide provider of records retrieval, subpoena services, and document management for the legal and insurance industries. There is no other company in the market that provides the volume of successfully retrieved records or the document management solutions that ABI offers. Our singular focus is records retrieval and the most advanced technology solutions for our clients to manage, analyze and summarize those retrieved records. We are committed to continually raising the bar for cost effective record retrieval and more thorough analysis and summarization.

    Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

    Equal Opportunity Employer - Minorities / Females / Disabled / Veterans

    ABI offers a fast-paced team atmosphere with competitive benefits (medical, vision, dental), paid time off, and 401k.

    #LI-MB1

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    Data Engineer • Loma Linda, CA, United States

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