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Synapse Jobs in Ohio (NOW HIRING)

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$79K - $102K/yr

Implement and manage Azure services such as Data Factory, Synapse Pipelines, Storage Accounts, and Key Vault. * Automate deployments using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

... Azure Synapse Analytics, Azure Analytical Services, Databricks and Azure Data Explorer. Will stage, transform, and load structured and semi-structured data to build a data platform for Analytics.

Northern Base

Azure Data Architect

Dublin, OH · On-site

$61.25 - $79.75/hr

Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS) * Proven ability to evaluate and recommend architecture solutions * Solid understanding of data ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet, JSON, CSV) Structuring reusable data pipelines and ML components to accelerate ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

BakerHostetler

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

... Synapse Analytics, and Data Factory to handle and analyze large volumes of data. • Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

... Synapse Analytics, and Data Factory to handle and analyze large volumes of data. • Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure ...

Essilor

Data & ML Engineer

Mason, OH

$107K - $129K/yr

... and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet, JSON, CSV) Structuring reusable data pipelines and ML components to accelerate ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet, JSON, CSV) Structuring reusable data pipelines and ML components to accelerate ...

BakerHostetler

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

... Synapse Analytics, and Data Factory to handle and analyze large volumes of data. • Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau development experience. * Healthcare data integration experience. * Knowledge of HL7 or FHIR standards.

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All JobsSynapse JobsSynapse Jobs in Ohio

Synapse information

See Ohio salary details

$16K

$101.4K

$141.7K

How much do synapse jobs pay per year?

As of Aug 8, 2026, the average yearly pay for synapse in Ohio is $101,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,099.00 and $126,605.00 per year, depending on experience, location, and employer.

What are some common challenges faced by synapse engineers when integrating new neural models into existing systems?

Synapse engineers often encounter challenges with compatibility and scalability when integrating new neural models into established systems. Balancing the need for high performance with resource constraints, such as memory and processing power, is a frequent obstacle. Additionally, ensuring seamless communication between different components and maintaining system stability during updates requires careful testing and collaboration with cross-functional teams. Staying current with evolving machine learning frameworks also presents an ongoing learning curve.

What is the difference between Synapse vs Data Analyst?

AspectSynapseData Analyst
CredentialsTypically requires knowledge of Azure Synapse, data engineering, and cloud platformsOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, involving data integration, warehousing, and big data processingUsually office-based, focusing on data interpretation, reporting, and visualization
Industry UsageUsed in data engineering, data warehousing, and big data projects within tech, finance, and healthcareCommon in business intelligence, marketing, finance, and consulting sectors

Synapse is a cloud-based data platform focusing on data integration and big data processing, while a Data Analyst primarily interprets data and creates reports. Both roles often collaborate but serve different functions within data management and analysis.

What are the key skills and qualifications needed to thrive as a synapse software engineer, and why are they important?

To excel as a Synapse Software Engineer, you need strong programming skills, experience with cloud data platforms (especially Azure Synapse Analytics), and a background in computer science or a related field. Familiarity with SQL, data integration tools, Azure Data Factory, and certifications like Microsoft Certified: Azure Data Engineer Associate are often required. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating on complex data projects. These competencies ensure efficient data solutions, robust analytics pipelines, and successful outcomes in fast-evolving enterprise environments.

What is a synapse?

A Synapse job typically refers to a role related to Microsoft Azure Synapse Analytics, a cloud-based big data and analytics service. Professionals in this role work with data integration, analysis, and processing, often using SQL, Spark, and AI tools. Responsibilities may include data warehousing, pipeline creation, performance optimization, and security management. These roles are common in industries requiring large-scale data analytics and business intelligence.

What are the most commonly searched types of Synapse jobs in Ohio? The most popular types of Synapse jobs in Ohio are:
What are popular job titles related to Synapse jobs in Ohio? For Synapse jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Synapse jobs in Ohio look for? The top searched job categories for Synapse jobs in Ohio are:
What cities in Ohio are hiring for Synapse jobs? Cities in Ohio with the most Synapse job openings:
Synapse jobs near you
Infographic showing various Synapse job openings in Ohio as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $101,372 per year, or $48.7 per hour.

Azure Data Engineer at GSSR Inc Cincinnati, OH

Downtown Boulder Partnership

Cincinnati, OH • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Job description

Job Description

Azure Data Engineer position at GSSR Inc. Cincinnati, OH.

Key Skills
  • Experience setting up databases, creating dimensional models in Synapse, and tuning.
  • ClickStream experience is highly desirable.
Soft Skills
  • Leadership experience – must have experience managing a team.
  • Collaborative.
  • Relationship building.
Responsibilities
  • Model and design data in Azure Synapse.
  • Work on cloud migration methodologies and processes, including Azure Data Factory, Azure Functions, Databricks.
  • Expert in SQL, Python, Spark, Databricks.
  • Use PySpark for ingesting and transforming varied data file formats (Avro, JSON, CSV).
  • Design and implement ingestion processes for unstructured and structured data sets.
  • Develop data cleansing routines.
  • Handle troubleshooting and performance tuning of Spark and SQL queries on multi‑terabyte datasets.
  • Use Azure DevOps / GitHub Actions CI/CD pipelines to deploy code.
  • Implement and manage Terraform scripting.
  • Own data quality processes, data architecture, data warehousing design and implementation; develop fact and dimension tables, logical & physical database design.
  • Lead team; deliver presentations; translate product requirements to the team.
Qualifications
  • Minimum 7 years of hands‑on experience designing, configuring, implementing and migrating medium to large enterprise data platforms.
  • Experience with Azure data services including Azure Functions, Python, SQL Server, Azure Data Factory, Azure Databricks, Terraform, Azure DevOps, GitHub Actions, T‑SQL and stored procedures, Azure Log Analytics, Azure Data Lake Storage, Azure Synapse.
  • Experience with DevOps processes and Terraform scripting.
  • Knowledge of data warehousing, data architecture, data quality processes, metadata and master data standards.
  • Possession of Microsoft Azure certifications is a plus.
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