Data Engineer I (Databricks, SQL)

TravelersHartford, CT

About The Position

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.

Requirements

  • Hands-on experience with SQL, Databricks, and business intelligence tools such as Qlik or MicroStrategy
  • Proven ability to work directly with business stakeholders to understand requirements and deliver solutions
  • Strong problem-solving and debugging skills, with the ability to troubleshoot issues in unfamiliar code or systems
  • Excellent verbal and written communication skills
  • Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 2 additional years of software/data engineering experience.

Nice To Haves

  • Three or more years of experience in a data engineering role with the ability to contribute immediately
  • Proficiency with GitHub, Python, and PySpark
  • Experience with data modeling and front-end development
  • Background in software engineering practices and programming
  • Experience documenting data attributes, metrics, and transformations
  • Demonstrated self-motivation and leadership in identifying personal growth opportunities
  • Proficient in cloud platforms and modern data engineering tools
  • Ability to deliver work at a steady pace, break down complex assignments into manageable releases, and contribute to technical tradeoff discussions
  • Deep technical knowledge of systems and platforms you work with
  • Strong collaboration skills with both technical teams and business partners
  • Comfortable recognizing patterns and solving repetitive problems efficiently

Responsibilities

  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
  • Design data solutions.
  • Analyze sources to determine value and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
  • Test data movement, transformation code, and data components.
  • Perform other duties as assigned.

Benefits

  • Health Insurance
  • 401(k) matching
  • Pension Plan
  • 20 days Paid Time Off annually
  • Nine paid company Holidays
  • Wellness Program
  • Matching Gift and Volunteer Rewards program
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