Data Engineer

2 weeks ago

Denver, Colorado, United States The Ash Group Full time

*** W2 Contract Only – No C2C – No 3rd Parties ***

Summary

The Ash Group is hiring a
Data Engineer
for our client (a specialized financial services subsidiary providing dedicated new home construction financing). This is a
Direct Hire
role with compensation of
$100,000 annually
, based in
Denver, CO
(Hybrid setting).

This role is crucial for transforming the organization into a data-driven environment by designing and optimizing data infrastructures, migrating large-scale data to the
Microsoft Azure
cloud (specifically
Microsoft Fabric
), and leveraging expertise in
AI/ML
to drive decision-making.

Role Details

  • Compensation:
    Annual base salary of
    $100,000
    . (Eligible for annual bonus based on performance objectives).
  • Benefits:
    Comprehensive package including Medical, Dental, and Vision coverage. Eligibility for 401(k) Plan, Company-paid disability/basic life insurance, parental leave, tuition reimbursement, and generous PTO (up to 17 days/year for less than 10 years of service).
  • Duration:
    Direct Hire.
  • Location:
    Hybrid in
    Denver, CO
    . (Requires 1 day per week in office).

What You'll Be Doing

  • Design new and migrate existing large-scale data stores (from on-premises SQL Server) to the modern
    Microsoft Fabric-based
    infrastructure, including the Lakehouse and data warehouses.
  • Develop, code, and optimize ETL/ELT solutions and data pipelines using
    SQL
    ,
    Python
    , and
    PySpark
    , focusing on data acquisition and quality.
  • Collaborate with data scientists to
    productionize ML models
    and integrate them seamlessly into data pipelines to deliver business impact.
  • Utilize and optimize modern data engineering tools like
    Azure Data Factory
    ,
    Synapse
    , and
    Jupyter Notebooks
    for processing and analysis.
  • Provide technical expertise during the full development lifecycle, ensuring adherence to data architecture and enterprise quality standards.

What We're Looking For

  • 4+ years' software engineering experience
    with
    Python
    ,
    PySpark
    , Spark, or equivalent notebook programming.
  • 3+ years' experience
    with
    SQL
    , relational databases, and large data repositories, including advanced knowledge of writing SQL and optimizing query plans.
  • Hands-on experience with
    Azure Data Factory
    ,
    Azure Synapse
    , Data Lake, and the
    Microsoft Fabric
    environment (or strong willingness to adopt new cloud-native data platforms).
  • Knowledge of
    AI/ML
    , Agents, and other automation tools, including experience with ML frameworks (e.g., scikit-learn, TensorFlow) is highly preferred.
  • Experience with
    CI/CD
    concepts,
    DataOps/MLOps
    , and general software deployment lifecycles.
  • Participant in
    Agile methodologies
    (Scrum) with strong verbal and written communication skills to effectively collaborate with technical and non-technical stakeholders.

Apply today to join a dynamic team supporting critical infrastructure projects.

DataEngineer #AzureCloud #DataOps #AIML #DirectHire #DenverJobs #PySpark

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