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Python Sql Jobs in Ohio (NOW HIRING)

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

CYNET SYSTEMS

Palantir Lead / Architect

Raymond, OH · On-site

$75 - $80/hr

Proficiency in Python and SQL. * Experience with data governance and data quality frameworks. * Ability to work in client-facing environments and drive technical discussions. Should Have:

Coca-Cola

$40.25 - $55.25/hr

This is a hands-on, build-focused role centered on Python web development and Azure cloud ... Write and optimize SQL (T-SQL / SQL Server), including complex queries, CTEs, views, and stored ...

RevSpring, Inc.

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent. * Experience creating and ...

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How much do python sql jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python sql in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What are the most commonly searched types of Python Sql jobs in Ohio? The most popular types of Python Sql jobs in Ohio are:
What are popular job titles related to Python Sql jobs in Ohio? For Python Sql jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Ohio look for? The top searched job categories for Python Sql jobs in Ohio are:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Ohio as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $115,921 per year, or $55.7 per hour.

Senior Data Engineer & Analytics Developer (1086)

BC Forward

Brooklyn, OH • Remote

$65/hr

Other

Posted 7 days ago

Job description

Job Title: Senior Data Engineer & Analytics Developer (1086) Location: Remote Duration: Contract - 6 months Pay Range: $65/hr $65/hr (W2) Job ID: 374488 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Senior Data Engineer & Analytics Developer to join our dynamic team. The ideal candidate will have strong experience in GCP, BigQuery, Cloud Composer, Python, SQL, and Tableau and a proven ability to design scalable data architectures, build robust pipelines, and deliver production-quality Tableau dashboards end to end. Responsibilities: Design and implement scalable data pipelines in GCP using BigQuery, Cloud Composer, and Python.

Model layered datasets for reuse using medallion and dimensional patterns with clear documentation and governance. Develop end-to-end Tableau dashboards, including data source design, performance tuning, and publishing workflows. Optimize BigQuery cost and performance through partitioning, clustering, and materialized views.

Orchestrate production-grade workflows with scheduling, retries, and dependency management in Cloud Composer. Partner with cross-functional stakeholders to translate requirements into scalable data solutions and self-serve analytics. Required Skills & Qualifications: Advanced proficiency in Python and SQL for data transformation, pipeline logic, and performance optimization.

Hands-on experience with GCP services including BigQuery, Cloud Composer (Apache Airflow), GCS, and Cloud Functions. Proven ability to design reusable, modular datasets and apply medallion and star schema patterns. Track record of building production-quality Tableau dashboards on well-modeled data layers.

5+ years in data engineering roles with meaningful GCP/BigQuery experience. Preferred Skills: Experience with Vertex AI Pipelines and ML workflow orchestration. Infrastructure-as-code with Terraform and CI/CD for data pipelines.

Familiarity with Data Vault modeling and targeted denormalization practices. Experience with Jupyter notebooks and Git/GitLab workflows. Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients.

A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. Role Summary We are seeking a Data Engineer with strong analytics capabilities who can own the full data lifecycle from scalable pipeline development to polished Tableau dashboards.

The ideal candidate thinks architecturally, designs datasets for reuse and longevity, and avoids one-off solutions. The role requires proficiency in Python and SQL as primary working languages and Tableau for reporting. Core Competencies Data Engineering and Pipeline Development Hands-on BigQuery expertise including dataset design, partitioning and clustering, materialized views, and cost optimization.

Proficiency with Cloud Composer for orchestrating production pipelines with schedules, retries, and dependencies. Experience building and maintaining Vertex AI Pipelines for ML and large-scale transformations. Advanced SQL including window functions, CTEs, recursive queries, and tuning.

Strong Python for transformation scripts, custom Airflow operators, API integrations, and automation. Data Architecture and Scalable Design Design of layered architectures using Medallion, Dimensional Modeling, Data Vault, and targeted denormalization as appropriate. Creation of modular, multi-purpose datasets with canonical models and shared dimensions.

Disciplined approach to table creation versus extension or views to prevent duplication and sprawl. Adherence to best practices for naming, schema organization, documentation, and lifecycle management. Tableau Dashboard Development End-to-end Tableau development from data source configuration and extract optimization to interactive visual design.

Translation of business questions into clear, intuitive visualizations for self-service. Knowledge of performance tuning, published data sources, and server or cloud publishing workflows. Alignment of upstream data modeling with downstream dashboard performance.

Technical Stack Cloud Platform: Google Cloud Platform (GCP) Data Warehouse: BigQuery (advanced) Orchestration: Cloud Composer / Apache Airflow ML Pipelines: Vertex AI Pipelines Visualization: Tableau (Desktop, Server/Cloud) Languages: Python (advanced), SQL (advanced) Infrastructure: Terraform (preferred), GCS, Cloud Functions Version Control: Git / GitLab What Sets the Ideal Candidate Apart Architecture-first thinking that prioritizes extension and reuse. Efficiency over volume with minimal pipelines supporting broad use cases. End-to-end ownership from ingestion to Tableau dashboards.

Pragmatic scalability that balances present needs with future growth. Experience and Qualifications 5+ years in a data engineering role with substantive GCP and BigQuery experience. Advanced proficiency in Python and SQL as daily working languages.

Demonstrated design and maintenance of shared, reusable data models at enterprise scale. Familiarity with medallion, star schema, and Data Vault patterns. Portfolio or examples of Tableau dashboards built on well-structured data layers.

Familiarity with CI/CD practices and infrastructure-as-code concepts. Strong communication and cross-functional collaboration skills. Questions for Candidate Submit written answers with the resume.

How many Tableau dashboards have you built end to end, including the data layer, and how did you build them. How familiar are you with Cloud Composer. When would you use it over a scheduled notebook or a cron job.

Describe an example where you combined data from multiple sources into a single dataset for reporting. How did you decide to structure it. Top Resume Review Criteria Hands-on experience with SQL, Python, GCP, BigQuery, Cloud Composer, GCS, Cloud Functions, and Jupyter notebooks demonstrated through pipeline builds, dataset design, or architecture decisions.

Evidence of scalable architecture thinking including reusable models, layered architectures, and consolidation over one-off projects. Tableau dashboard development paired with data modeling, showing ownership of both the data layer and the visualization. About Our Commitment BCforward is an equal opportunity employer.

We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested?

Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume and include answers to the candidate questions.

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