The Travelers Indemnity Company

The Travelers Indemnity Company

Senior Data Engineer (AWS, Databricks)

Hartford, Connecticut · Senior

Sponsorship not specified$139k-$230kDetected 59 days ago
Code ReviewGitSQLSnowflakeDatabricksAWSTerraformCI/CDGitHub ActionsJenkinsMachine LearningSparkData EngineeringTest AutomationUnityMentoring

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 19 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 44%

Of 9 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 463 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Senior Data Engineer (AWS, Databricks) Who Are We?
  • Join us to discover a culture that is rooted in innovation and thrives on collaboration.
  • Imagine loving what you do and where you do it.

Responsibilities

  • You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology.
  • Design and build production data pipelines across AWS, Snowflake, Databricks supporting both batch and near real-time analytics workloads.
  • Drive down lead time from commit to production by removing manual steps, leveraging AI, building self-service tooling, and standardizing the path to deployment; treat cycle time as a metric you actively own and improve.
  • Modernize legacy workloads - Help manage and optimize Ab>Initio pipelines and when applicable, help migrate or re-platform Ab>Initio pipelines toward cloud-native, declarative, ELT-based patterns on Snowflake and Databricks where it delivers value.
  • Optimize for cost and performance across Snowflake compute, Databricks clusters, and storage, applying FinOps-aware engineering practices.
  • Mentor and upskill engineers through code review, pairing, design guidance, and documented standards, acting as a technical multiplier for the team.
  • Ten years of related experience building, designing and operating production data pipelines at scale.
  • Demonstrable experience architecting, designing and building scalable, secure data solutions using AWS, Databricks, Snowflake and Ab>Initio or similar platforms.
  • A track record of leveraging AI assistants, create skills/tools to augment data engineering practices throughout the development lifecycle.
  • The ability to lead technical direction for data engineering initiatives across cloud and on-premises infrastructure.

Requirements

  • Bachelor's Degree in STEM related field or equivalent

Skills

  • Cloud: Proficiency with commonly used AWS services and architectures for data and analytics solutions
  • AI Coding Assistants: Familiarity using Claude Code, Codex, Copilot, Cursor, etc. for day-to-day engineering tasks.
  • AbInitio: Proficiency with GDE, Co>Operating System, and EME, including maintaining and optimizing existing graphs.
  • CI/CD for data: Git-based workflows, branching strategy, and pipeline automation (e.g., GitHub Actions, GitLab CI, or Jenkins).
  • Infrastructure as Code (e.g., Terraform): Familiarity with a configuration-driven, repeatable approach to environments
  • What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 6 additional years of data engineering experience.
  • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Employment Practices
  • Travelers is an equal opportunity employer.
  • Travelers reserves the right to fill this position at a level above or below the level included in this posting.

Compensation

  • $139,400.00 - $230,000.00

Benefits

  • 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.
  • Measure and demonstrate impact, tying AI-tool adoption to concrete outcomes such as reduced lead time, faster test coverage, and improved consistency, and sharing those results to drive broader adoption.

Company info

  • Taking care of our customers, our communities and each other.
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This listing is sourced directly from The Travelers Indemnity Company's careers page and normalized into a canonical job model.