Rearc
Lead Data Engineer (Databricks)
Remote (United States) · Junior
Sponsorship not specified$175k-$200kDetected 57 days ago
PythonScalaCode ReviewBigQueryRedshiftDatabricksAWSGCPAzureCloud PlatformsCI/CDSparkData EngineeringTest AutomationUnityLeadershipCommunicationProblem Solving
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
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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from this employer's Department of Labor filings
Files H-1B transfers
2 transfer filings in the last year, covering 2 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
- You've led data engineering projects end-to-end in a client-facing or consulting context, managing technical scope, navigating stakeholder expectations, and delivering against timelines without cutting corners.
- You bring a DataOps mindset: CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code are standard practice for you, not afterthoughts.
- Your communication skills allow you to engage technical and non-technical stakeholders equally well, from a client's CTO to a junior engineer on your team.
Responsibilities
- As a Lead Data Engineer at Rearc, you'll serve as the hands-on technical lead across complex, client-facing data engineering engagements.
- You'll own the architecture and the build.
- Lead Client Data Engagements: Serve as the senior technical lead on client projects.
- Own the architecture, guide the build, manage delivery risk, and ensure the solution shipped matches what was promised.
- Build and Productionize Data Solutions: Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms.
- Architect for Scale and Reliability: Translate complex client requirements into robust technical designs, reference architectures, and data models built to last in production.
- Drive Technical Delivery: Manage technical scope and timelines, identify blockers early, and partner with project managers and client stakeholders to keep engagements on track.
- Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.
- As a Lead Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team, understand their most difficult data challenges, and then go head-down and build a solution.
- You'll bring deep, hands-on expertise with Databricks and the broader modern data stack, and you'll set the technical standard for how we design, build, and deliver data platforms that actually work in production.
Nice to have
- You write clean, production-quality code in Python, with Scala experience a strong plus for deeper Spark and performance-critical work.
- Databricks certification is a strong plus.
Compensation
- $175k-$200k
Company info
- Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo.
- Some More About Us At Rearc, we're committed to empowering engineers to build awesome products and experiences.
- If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!
- Our approach is simple - empower engineers with the best tools possible to make an impact within their industry.
- We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.
- If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place.
This listing is sourced directly from Rearc's careers page and normalized into a canonical job model.