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Remote Databricks Data Engineer Jobs in Ohio (NOW HIRING)

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

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Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

$97K - $128K/yr

Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution ... We are actively seeking candidates for full-time, remote work within the US or UK. Atlanta and ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other ... Job Responsibilities Azure Data Engineering & Integration * Lead the design, development, and ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

REMOTE: This position can work remotely from out-of-state within the continental United States ... Proficiency in SQL, data analysis, and programming (Python/Scala) * Experience with Azure ecosystem ...

Description Position Summary: The Data Engineer II will play a vital role in our Data ... If fully remote: must be willing to travel * This position will require the ability to work ...

Senior Data Engineer

Dublin, OH · Remote

$91K - $163K/yr

Work with engineering leadership to implement and support inbound data integrations to ingest data ... Databricks experience and/or certifications - Lake House, Delta Lake, Unity Catalog, pipeline ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey -- helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

Senior Data Engineer

Cincinnati, OH · Remote

$101K - $138K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ...

Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

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Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

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Showing results 1-20

Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Ohio? The most popular types of Databricks Data Engineer jobs in Ohio are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Ohio? For Remote Databricks Data Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Databricks Data Engineer jobs? Cities in Ohio with the most Remote Databricks Data Engineer job openings:
Senior Data Engineer 2026 - US,UK

Senior Data Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$116K - $153K/yr

Full-time

Re-posted 9 days ago


Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.