Data Engineer

Apex Systems in Saint Paul, MN

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $88,410.00 - 126,500.00 / Year*
position filled
Apex Systems is seeking a Data Engineer to join the Corporate Research Systems Lab (CRSL) for one of our major clients in the Maplewood, MN area to collaborate and innovate with all of internal businesses and divisions. CRSL is a collaborative environment with cross-functional teams responsible for designing and developing digital technologies from the hardware and electronics, to the algorithms and analytics, and the application software layer. A successful candidate will work side-by-side with engineers and scientists in broad disciplines from software, artificial intelligencemachine learning, electronic, mechanics and advanced analytics. Position is a 24 month contract. For immediate consideration, please send a copy of your most updated resume referencing the JobID 1039637 to Catherine at or Megan at Responsibilities Be part of a core team research and adopting latest cloud based data technologies from end-to-end (data ingestion to consumption). Develop and maintain scalable data pipelines that will ingest, transform, and distribute numerous data streams andor batches Develop and establish data management frameworks to prevent data lakes from becoming data swamps. Develop and maintain a CICD pipeline that manages and deploys data pipelines, data infrastructure and data artifacts as code. Advice, consult, mentor and coach internal businesses, data scientists and data consumers users on data standards, pipeline development, data storage, normalization and consumption. Basic Qualifications Bachelor's degree or higher in a science or engineering discipline (completed and verified prior to start) from an accredited university Preferred Qualifications One (1) or more years of professional experience as a data engineer, software engineer, data analyst or data scientist in a private, public, government or military environment Ability to work with many languages and frameworks including Python, C++, C, Java, Javascript, Scala Hands on experience with relational SQL and NoSQL databases. Experience building data lakes and data warehouses in AWS and Azure Experience with cloud computing services and infrastructure in the data space (e.g. Azure ADLS, HD Insight, Databricks, AWS S3, AWS Glue, Elastic MapReduce, etc.) and awareness of considerations for building scalable, distributed systems. Experience with stream-processing systems Amazon Kinesis, Azure Stream Analytics, Spark, Storm, Kafka etc. Experience with BI and reporting tools Strong problem-solving skills Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Leadership and networking skills Self-motivated and self-directed Excellent communication skills (oral, written and presentation) Position is a 24 month contract. For immediate consideration, please send a copy of your most updated resume referencing the JobID 1039637 to Catherine at or Megan at EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or 844-###-####.
Associated topics: data engineer, data integrity, data manager, data management, data warehousing, database, database administrator, hbase, mongo database administrator, teradata

* Estimated salary

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