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Senior Dataops Engineer Jobs in New York (NOW HIRING)

Rearc

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

As a Senior Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data ... You bring a DataOps mindset: CI/CD for data pipelines, automated testing, observability, and ...

Pearson Education

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Pearson

Senior Software Engineer

Hoboken, NJ

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Pearson

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Sirius XM

Principal Engineer, Data Operations

Manhattan, NY · On-site

$126K - $151K/yr

Resolve complex DataOps and data architecture issues across large-scale ecosystems, including ... Represent the organization's data operations capabilities with senior stakeholders and, when ...

T-Mobile

Senior Data Production Engineer

New York, NY · On-site

$105K - $189K/yr

We are adding a creative and motivated Senior Data Engineer to join our team, where you'll use ... Familiarity with DevOps practices and tools for DataOps. * Ability to work quickly and precisely ...

Astronomer

Senior Software Engineer, Platform

New York, NY · On-site

$168K - $230K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... We're looking for a Senior Software Engineer to join our Platform Engineering team. You get to go ...

Astronomer

Software Engineer - Applications

New York, NY · On-site

$144K - $160K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Participate in on-call rotation, pairing with senior engineers to troubleshoot and resolve ...

Astronomer

Senior Product Marketing Manager

New York, NY · On-site

$132K - $173K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Senior Product Marketing Manager Astronomer - Preferred NYC Area / Hybrid Office Data engineering ...

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Senior Dataops Engineer information

What are some common challenges a Senior DataOps Engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

What are the key skills and qualifications needed to thrive as a Senior DataOps Engineer, and why are they important?

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are Senior DataOps Engineers?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.
What are the most commonly searched types of Dataops Engineer jobs in New York? The most popular types of Dataops Engineer jobs in New York are:
What are popular job titles related to Senior Dataops Engineer jobs in New York? For Senior Dataops Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Dataops Engineer jobs in New York look for? The top searched job categories for Senior Dataops Engineer jobs in New York are:
What cities in New York are hiring for Senior Dataops Engineer jobs? Cities in New York with the most Senior Dataops Engineer job openings:
Senior Dataops Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Rearc

New York, NY • On-site

$160K - $200K/yr

Full-time

Posted 8 days ago

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 - 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.
The pay range for this role is:
160,000 - 200,000 USD per year (Hybrid (New York, New York, US))

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