Senior Data Engineer

Motion Recruitment
  • Chicago, VA
    6 days ago

    Job Description


    Join a growing, data-driven organization that is investing heavily in its modern cloud data platform and analytics capabilities. We are seeking a Senior Databricks Data Engineer to design, build, and optimize enterprise-scale data solutions using Databricks, Azure, PySpark, Delta Lake, SQL, and modern cloud technologies. This is a full-time opportunity for an engineer who is passionate about building scalable data products and shaping the future of data architecture.

    You'll have the opportunity to drive architecture decisions, influence engineering standards, and help build a best-in-class Lakehouse platform from the ground up. We're looking for someone who thrives in complex environments, enjoys solving large-scale data challenges, and wants to work alongside talented engineers who value innovation and continuous learning. If you're seeking a role that offers technical ownership, career growth, exposure to cutting-edge technologies, and strong work-life balance, this is an opportunity worth exploring.


    Required Skills & Experience
    • 7+ years of experience in Data Engineering, Data Warehousing, or Data Platform development
    • 3+ years of hands-on Databricks experience in a production environment
    • Strong expertise with PySpark and Apache Spark
    • Advanced SQL development and query optimization skills
    • Experience building ETL/ELT pipelines at enterprise scale
    • Experience working within Azure, AWS, or GCP cloud environments
    • Excellent communication skills and ability to partner with technical and business stakeholders
    Desired Skills & Experience
    • Azure Data Factory, Azure Synapse, or Microsoft Fabric experience
    • Experience with Kafka or event-driven architectures
    • Databricks Workflows, Airflow, or similar orchestration tools
    • Infrastructure as Code using Terraform or ARM templates
    • Experience supporting AI, Machine Learning, or advanced analytics initiatives
    • Prior experience mentoring engineers or leading technical initiatives
    What You Will Be Doing
    Tech Breakdown
    • 50% Databricks / PySpark / Spark
    • 25% Azure Data Platform Services
    • 25% SQL & Data Modeling
    Daily Responsibilities
    • 70% Hands On
    • 30% Team Collaboration

    The Offer
    • Bonus eligible
    You will receive the following benefits:
    • Medical, Dental, and Vision Insurance
    • Vacation Time

    Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

    Numbers & Facts

    LocationChicago, VA

    Skills

    • ARM (Advanced RISC Machine)unmatched
    • Amazon Web Services (AWS)unmatched
    • Apache Sparkunmatched
    • Artificial Intelligence (AI)unmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Dental Insuranceunmatched
    • GCP (Good Clinical Practices)unmatched
    • Leading Edge Technologyunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Microsoft Product Familyunmatched
    • Microsoft Windows Azureunmatched
    • Production Systemsunmatched
    • Query Optimizationunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Technical Leadershipunmatched
    • Vision Planunmatched

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