Lead Data Engineer

🕒 September 22

🏈 Alabama, Nebraska – Remote

🏈 Alabama – Remote 🌾 Nebraska – Remote

💵 $109.5k - $167.8k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Protective Life

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1908

💸 Finance

🛡️ Insurance

Finance • Insurance

Protective Life is a financial services company specializing in providing affordable life insurance and annuities. The company offers a variety of insurance products such as term life, whole life, and universal life policies, as well as fixed, immediate, indexed, and variable annuities. Protective Life assists individuals in planning for their future, including retirement, estate planning, and financial protection for families. The company emphasizes its commitment to sustainability, community involvement, and helping customers achieve protection and security throughout various life stages. Protective Life is known for its strong financial foundation and is licensed to operate in all states except New York.

📋 Description

• Set the technical direction for a delivery pod building data products on Voyager, Protective’s Databricks lakehouse on Azure • Lead end-to-end design of data products across Raw/Prep/Prod (Bronze/Silver/Gold) medallion architecture • Own dimensional design, including grain, keys, Type 2 history, facts, bridges, and conformed dimensions • Define data-cleaning, business-logic, and consumer-responsibility boundaries across layers • Partner with ML engineering on contracted, versioned, and reproducible training and feature datasets • Own ODCS data contracts, quality rules, freshness expectations, consumer compatibility, and breaking-change policies • Set engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions • Lead code reviews and ensure quality through tests, asset checks, observability, alerting, and CI/CD • Own pipeline operations, including incident diagnosis, data triage, backfills, tuning, on-call escalation, root-cause analysis, and runbooks • Maintain regulated-carrier controls, least-privilege access, segregation of duties, change management, and audit evidence • Develop reusable frameworks, templates, and patterns • Partner with the Product Owner and Scrum Master on story decomposition, refinement, and delivery readiness • Mentor engineers through design review, pairing, and code review • Collaborate with platform, DataOps/MLOps, data architecture, and governance teams

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products • Strong hands-on Python and SQL • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning • Deep dimensional modeling experience • Demonstrated technical leadership • Experience owning data that other teams depend on, including handling breaking changes and production data incidents • Experience with orchestration such as Dagster, Databricks Workflows, Airflow, or similar • Experience with Git-based collaborative development, code review, and CI/CD such as Azure DevOps or comparable • Experience setting observability and SLA/SLO expectations for data other teams depend on • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders • Databricks certification is preferred • Preferred experience with Unity Catalog, dbt, Dagster and Dagster Cloud, data contracts/ODCS, declarative Python ingestion frameworks, data quality and observability tooling, MLOps, Azure and Azure DevOps, regulated industries, and AI-assisted development

🏖️ Benefits

• Comprehensive health, dental and vision insurance • Mental health benefits • Employee assistance program • Paid time off • Paid parental leave • Short-term disability • Cultural observance day • Contributions to healthcare accounts • Pension plan • 401(k) plan with Company matching • ProHealth Rewards platform with cash rewards • Annual incentive based on individual and Company performance