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Job Description

Stratford, CT (onsite) opportunity for a Data Engineer supporting end-to-end data delivery across pipelines, models, and production systems.

Responsibilities

  • Deliver full-stack data solutions across the entire data processing pipeline.
  • Design and implement solutions spanning the full data lifecycle: collect, ingest, process, store, persist, access, and deliver data at scale and at speed.
  • Build data pipelines to clean, transform, and aggregate unorganized data into databases or analysis-ready data sources.
  • Define functional capabilities and security requirements, along with back-up and recovery specifications for data solutions.
  • Work through data solution lifecycle stages including: analyze/profile data, create conceptual, logical, and physical data model designs, and architect ETL, reporting, and analytics.
  • Maintain data system performance by identifying and resolving production and application development problems.
  • Calculate optimum parameter values and evaluate, integrate, and install new releases.
  • Define standards, best practices, and certification processes for data objects.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related technical field (equivalent experience may be accepted).
  • 3+ years building and maintaining data pipelines and processes in production.
  • Strong SQL skills and experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
  • Experience supporting reporting and analytics tools such as Tableau or SSRS.
  • Hands-on experience with data modeling and schema design.

Technologies

  • SQL, SQL Server, Oracle, PostgreSQL, MySQL
  • Tableau, SSRS
  • Python
  • Git
  • AWS, Azure, GCP
  • OpenShift
  • ETL

Desired Skills

  • Programming experience in Python.
  • Knowledge of version control (Git) and the software development lifecycle.
  • Knowledge of a major cloud platform (AWS, Azure, or GCP) and its data services.
  • Knowledge deploying and managing containerized data workloads on OpenShift.

Benefits

  • Medical, Dental, Vision
  • Flexible work arrangements and schedules (e.g., 4x10)
  • 401(k) match
  • Paid time off
  • Holidays
  • Parental Leave
  • EAP
  • Flexible Spending Accounts
  • Education Assistance
  • Life Insurance
  • Short-Term Disability, Long-Term Disability
  • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position

Salary: USD 118,000 - 219,100 per year.

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