RemoteWorker US

Data Engineer - Remote (CA, TN, CT, FL, MT, or NE)

Job description

Title: Data Engineer - Remote (CA, TN, CT, FL, MT, or NE)

Pay/Salary/Benefits/Perks: Up to 130k plus bonus

Work from Home Policy: Remote (CA, TN, CT, FL, MT, NE)

Interview Process: Streamlined process, 2 interviews

Key Skills: 8+ years PostgresSQL, Python, Java, Spark, ETL; Must be located in one of the following states: CA, TN, CT, FL, MT, or NE

Responsibilities:

  • Develop data processing & querying logic on RDBMS and Data Lake.
  • Convert business requirements into technical solutions
  • Provide technical support to requirements, development, and testing.
  • Develop end-user training and reference materials.
  • Draft standards and procedures affecting data analysis and process modeling
  • Support initiatives related to scalability and performance.
  • Conduct performance tuning reviews for improvements
  • Have experience working with GitLab and being able to build and implement CI/CD pipelines for continuous development on different stages (dev, QA, production).

Qualifications:

  • Must be located in one of the following states: CA, TN, CT, FL, MT, or NE
  • 8+ years database developer experience on Postgres or Oracle. Including SQL, stored procedures using pgpl/sql or pl/sql programing languages
  • 5+ years doing ETL processes
  • 4+ years of:
    • Data engineering experience, specifically using Spark, scala or pyspark.
    • Python development
    • AWS environment (RDS, Lambda, Step functions, Kinesis, Athena, )
    • Object-Oriented programming language (Java, C, C++, ).
  • General experience with:
    • Linux/Unix OS
    • Containerized development
    • CI/CD automated deployment
    • Performance tuning and optimization in PostgreSQL or Oracle
  • Bonus:
    • AWS experience
    • Elasticsearch index build and querying experience.
    • Databricks working experience.
    • Understand how web-based applications work.
    • Big data/data lake, and database structures such as normalization, datamarts, fact tables, dimensions, views, indexing, and partitions.

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