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Streaming Data Engineer Jobs Near Me

Databricks Data Engineer

Columbus, OH ยท On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Develop and maintain batch and streaming data workflows that support reporting, analytics, and ...

Data Engineer

Columbus, OH ยท On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company ... based, streaming, with standardized validation, error handling, and schema evolution support.

New

Data Engineer

Columbus, OH ยท On-site

$110K - $132K/yr

They are seeking a Data Engineer to build and maintain data ingestion systems, ensure data quality ... streaming, with standardized validation, error handling, and schema evolution support. โ€ข Design ...

New

Data Engineer - Cloud/AI

Westerville, OH ยท On-site

$110K - $132K/yr

... streaming ingestions. โ€ข Certifications or degrees in data engineering, computer science, or related fields. Company : Vertiv designs, builds and services critical infrastructure that enables vital ...

... streaming data Proficiency in SQL and experience with Python or Java for data engineering pipelines Strong understanding of distributed systems, workflow orchestration, real-time analytics, and event ...

Sr Databricks Data Engineer

Columbus, OH ยท On-site

$110K - $132K/yr

... Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering ...

Cloud Data Engineer

Columbus, OH ยท On-site

$52 - $69.50/hr

Cloud Data Engineer Pay Rate: 50-78/HR on W2 Location: 1400 City View Drive, Columbus, OH 43215 ... Experience with building data pipelines and applications to stream and process datasets at low ...

Data Engineer - Cloud/AI

Westerville, OH ยท On-site

$110K - $132K/yr

Experience with batch processing and real-time streaming ingestions. * Certifications or degrees in data engineering, computer science, or related fields The successful candidate will embrace Vertiv ...

Data Engineer - Cloud/AI

Westerville, OH ยท On-site

$110K - $132K/yr

Experience with batch processing and real-time streaming ingestions. * Certifications or degrees in data engineering, computer science, or related fields The successful candidate will embrace Vertiv ...

Google Data Specialist

Hartford, OH ยท On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

SENIOR DATA BRICKS DEVELOPER INTERIVEW: TELEPHONIC & WEBCAM ROLE: SENIOR DATA BRICKS DEVELOPER ... Develop and optimize data ingestion frameworks for structured, semi-structured, and streaming data.

New

Google Data Specialist

Columbus, OH ยท On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

Sr Data Architect, Databricks

Columbus, OH ยท On-site +1

$65 - $87/hr

Build reusable ingestion frameworks for structured and streaming data (API, Kafka, CDC, batch pipelines) * Partner with Data Governance, Security, SRE, and Legal teams to align platform design with ...

Sr Data Architect, Databricks

Columbus, OH ยท On-site +1

$65 - $87/hr

Build reusable ingestion frameworks for structured and streaming data (API, Kafka, CDC, batch pipelines) * Partner with Data Governance, Security, SRE, and Legal teams to align platform design with ...

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Streaming Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do streaming data engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for streaming data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What states have the most Streaming Data Engineer jobs? States with the most job openings for Streaming Data Engineer jobs include:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
A map of the United States highlighting the number of Streaming Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Streaming Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH โ€ข On-site

$110K - $132K/yr

Full-time

Posted 14 days ago


Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision