Data Engineer

Our client seeks two Data Engineers to build and support batch-oriented data pipelines for AML and personal loans initiatives. The team operates in a micro-pod structure and requires hands-on engineering across Spark, Python, AWS Glue, Airflow, and SQL. Engineers will develop data integrations, perform data analysis and profiling, and provide production support to ensure timely delivery ahead of a hard deadline prior to May. Candidates must be comfortable with in-person interviews including a Python coding test, system design and testing, and SQL assessments., * Design, build, and maintain batch data pipelines and data integrations to transform large data volumes with quality.

• Develop in Spark and Python on AWS services including Glue and related data platforms.
• Administer and orchestrate workflows using Airflow.
• Write performant SQL for data transformation, validation, and analysis.
• Profile datasets and conduct data analysis to support pipeline health and downstream consumption.
• Provide production support and promptly resolve issues in a shared on-call rotation as needed.
• Collaborate within small engineering pods aligned to initiatives for AML and personal loans.
• Contribute to API or data-serving layers that expose curated datasets to consumers.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5+ years in application or data engineering with hands-on coding.

• 4+ years with big data technologies such as Spark, Hadoop ecosystem, or EMR.
• 4+ years with cloud platforms such as AWS, Azure, or Google Cloud Platform, with emphasis on AWS Glue and related services.
• Proficiency in Python and SQL. Java experience is beneficial.
• Experience with Airflow for orchestration and administration.
• Background in data analysis, profiling, and production support of pipelines.
• Familiarity with tools such as EMR, MapReduce, Hive, Snowflake, or Redshift.
• Experience working within Agile engineering practices.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.