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Temporary Sql Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer

Dayton, OH · On-site

$120K - $135K/yr

Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying ... Bachelor's degree in computer science, engineering, or a related field Technical skills, hands-on ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Proficiency in Python, PySpark, and SQL for data transformation and automation * Experience ... Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) * Strong ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software development using Extract ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... SQL Knowledge, Skills, Abilities Deep expertise in cloud data platforms, especially Azure and ... DevOps, CI/CD pipelines, and version control systems (Git, TFS) Strong communication and ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank ... Required : • Advanced SQL • ETL/ELT pipeline development • dbt (data build tool) • ...

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

Responsibilities : • Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); • Support programming/software ...

PIIM Data Engineer

New Albany, OH · On-site

$110K - $132K/yr

Build and maintain ETL/ELT processes and optimize SQL data models. * Develop curated datasets to ... Programming experience in Python for data transformation, preparation, and pipeline development.

PIIM Data Engineer

New Albany, OH · On-site

$110K - $132K/yr

Build and maintain ETL/ELT processes and optimize SQL data models. * Develop curated datasets to ... Programming experience in Python for data transformation, preparation, and pipeline development.

PIIM Data Engineer

New Albany, OH

$110K - $132K/yr

Build and maintain ETL/ELT processes and optimize SQL data models. * Develop curated datasets to ... Programming experience in Python for data transformation, preparation, and pipeline development.

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... Python and/or SQL Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing) Familiarity with machine learning workflows and data requirements Experience with data ...

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years ... Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

... Python and/or SQL Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing) Familiarity with machine learning workflows and data requirements Experience with data ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... and/or SQL · Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing) · Familiarity with machine learning workflows and data requirements · Experience with data ...

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases

Responsibilities : • Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); • Support programming/software ...

Showing results 41-60

Temporary Sql Data Engineer information

What is the difference between Temporary Sql Data Engineer vs Permanent Sql Data Engineer?

AspectTemporary Sql Data EngineerPermanent Sql Data Engineer
DurationShort-term, project-basedLong-term, ongoing employment
CredentialsTypically similar, often requiring SQL, data management skillsSame as temporary, may include additional certifications
Work EnvironmentContract roles, often in consulting or project teamsFull-time in company teams or departments
Employer UsageUsed for specific projects or to fill temporary staffing gapsUsed for ongoing data management and infrastructure

The main difference between a Temporary Sql Data Engineer and a Permanent Sql Data Engineer lies in employment duration and commitment. Temporary roles are project-based and short-term, ideal for specific tasks, while permanent positions offer long-term stability and ongoing responsibilities within an organization.

What are the most commonly searched types of Sql Data Engineer jobs in Ohio?

The most popular types of Sql Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Temporary Sql Data Engineer jobs?

Cities in Ohio with the most Temporary Sql Data Engineer job openings:

Data Engineer

LDSS Corp

Dayton, OH • On-site

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Description
Company Overview
Established in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:
  • Attitude – Optimistic, hopeful, and forward-thinking
  • Compassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding
  • Integrity – Acting ethically and transparently while honoring commitments 
  • Versatility – Adaptive and anticipatory problem-solving
  • Excellence – Dedicated to raising the bar of quality and performance
Summary
This is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you. 

Key Responsibilities
  • Build and optimize ETL data pipelines using Databricks and Apache Spark
  • Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
  • Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion
  • Use APIs for seamless data exchange and automation across systems
  • Manage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]
  • Leverage Microsoft 365 tools for documentation and collaboration
  • Develop and maintain Amazon Web Services (AWS) including S3
  • Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
  • Use Jira to track and manage issues, tasks, and project workflows
  • Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
  • Leverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes
  • Build and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback


Skills, Knowledge and Expertise
Education:
  • Bachelor’s degree in computer science, engineering, or a related field
Technical skills, hands-on experience and proficiency with:
  • Databricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)
  • SQL for querying and managing relational data (4 years preferred)
  • AWS cloud services, including S3 (3 years preferred)
  • Python for data analysis, cleansing, and visualization (4 years preferred)
  • SharePoint lists, document libraries, and Microsoft Graph
  • Microsoft 365 apps and integration workflows
  • Developing and consuming APIs for data exchange between different systems
  • Jira or other agile workflow management systems for issue and project tracking
Relationship Management and Teamwork:
  • Proven ability to build trust and maintain strong partnerships with customers and stakeholders
  • Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise
  • Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables
  • Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups
  • Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings
  • Ability to work collaboratively with a diverse team of contractors and government personnel
  • Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations
  • Skilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules
Preferred Licenses/Certifications:
  • AWS Certified Solutions Architect 
  • Databricks Certified Data Engineer
  • U.S federal government security clearance 

Benefits
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Referral program
  • Tuition reimbursement
  • Vision insurance



LDSS logo

About LDSS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Dayton, OH, US

Year founded

2006