Senior Data Engineer πŸ‡ΊπŸ‡Έ

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Hybrid (New York, New York, US) Until 8/23/2026 6+ years exp H-1B sponsor history First posted September 26, 2025 Last posted September 26, 2025
Job description

As a Senior 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. You'll write code, build pipelines, and architect solutions side-by-side with your team and your clients.


What You Bring

  • 6+ years of hands-on data engineering experience, designing and delivering production-grade data platforms
  • Expert-level in Apache Spark, including runtime internals, performance tuning, and optimisation, you understand what's happening under the hood and use that knowledge to build pipelines that perform at scale.
  • You write clean, production-quality code in Python, with Scala experience a strong plus for deeper Spark and performance-critical work.
  • You've built and productionalized solutions on the platform, including Delta Lake architectures, Unity Catalog governance, and Databricks Workflows. Databricks certification is a strong plus.
  • You have real, working experience across at least two major cloud platforms (AWS, Azure, GCP) with genuine depth in at least one, including cloud-native services such as AWS Redshift/Glue/S3, Azure Synapse/Data Factory/ADLS, or Google BigQuery/Dataflow/GCS.
  • 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 experience spans ETL/ELT design, data warehousing, lakehouse architecture, and data modelling, and you know when to apply each approach.
  • 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.

What You'll Do

As a Senior Data Engineer at Rearc, you'll serve as a hands-on senior contributor across complex, client-facing data engineering engagements. You'll contribute to the architecture and the build.

  • Contribute to Client Data Engagements: Serve as a senior technical contributor on client projects. Contribute to the architecture, guide the build, and help 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. You're hands-on keyboard, you write code, review code, and set the engineering standard for the engagement.
  • Architect for Scale and Reliability: Translate complex client requirements into robust technical designs, reference architectures, and data models built to last in production.
  • Support Technical Delivery: Support technical scope and timelines, identify blockers early, and partner with project managers and client stakeholders to keep engagements on track.
  • Mentor Data Engineers: Coach junior and mid-level engineers through hands-on pairing, code review, and direct feedback, raising the floor for everyone around you.
  • Promote Knowledge Sharing: Contribute technical blogs, reference architectures, and internal guides that reflect hard-won lessons from real client work.
  • Champion DataOps Practices: Establish and enforce modern data engineering standards across engagements, automated testing, pipeline observability, version control, CI/CD, and documentation.

Some More About Us

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. 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 β€” empower engineers with the best tools possible to make

an impact within their industry.


We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. 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.


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. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.

Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together!

The base salary range for this role is $160,000 - $200,000 USD per year. Compensation may vary based on skills, experience, and location.

About this role

Summary

Design, build, and optimize scalable data pipelines and lakehouse architectures on cloud platforms.

Job title

Senior Data Engineer

Experience level

6+ years

Minimum experience

6+ years exp

Industry

software

Location requirements

Hybrid (New York, NY, US), remote possible

Salary

$160k–$200k

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

sparkpythoncloud platformsdata pipelinesdata modeling

Preferred skills

scaladatabricks certificationCI/CDobservabilitydata governance

Specializations

data engineeringsparkdatabrickscloud platformsdataops
Locations

Structured locations inferred from the posting.

New York, NY, USA

Hybrid City