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Sql Python Data Engineer Jobs (NOW HIRING)

Required : • Python • AWS • SQL • Very strong hands-on experience in Python data engineering processing, Data processing development project. • Must have experience in AWS cloud services ...

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

... PySpark, and SQL. Responsibilities : • Will be creating a pipeline and writing in Pyspark ... Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data ...

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

Must have strong experience in Python Programming. Must have strong experience in SQL. Experience in building and optimizing data pipelines, architectures and data sets. Experience in processing and ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... Oracle / PL SQL development experience including stored procedures * Strong understating of object ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... Oracle / PL SQL development experience including stored procedures * Strong understating of object ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Strong SQL skills and experience with relational and NoSQL databases. Experience with Apache Kafka ...

Euclid Innovations is seeking a skilled Python Data Engineer to join their dynamic team. The role involves designing and implementing data pipelines, processing large datasets, and ensuring data ...

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Sql Python Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do sql python data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for sql python 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 is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities are hiring for Sql Python Data Engineer jobs?

Cities with the most Sql Python Data Engineer job openings:

What states have the most Sql Python Data Engineer jobs?

States with the most job openings for Sql Python Data Engineer jobs include:

What are popular job titles related to Sql Python Data Engineer jobs?

For Sql Python Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Sql Python Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (SQL, Python)

Sunnyvale, CA • On-site

Siri InfoSolutions Inc
IT Services • 201 - 500 employees

$134K - $161K/yr

Full-time

Re-posted yesterday


Job description

Job Summary – Data Engineer (SQL, Python)
- Minimum 8 years’ experience in data engineering or backend data development roles.
- Expert in SQL (including performance tuning, window functions, CTEs, analytical queries).
- Strong Python programming skills for scripting, data processing, and ETL logic.
- Hands-on experience with relational databases (PostgreSQL, MySQL) and data warehouses (Snowflake, BigQuery, Redshift).
- Proven ability to design, build, and maintain large-scale, production data pipelines (ETL/ELT).
- In-depth knowledge of data modeling techniques (dimensional modeling, normalization/denormalization).
- Solid understanding of data quality, validation, and governance processes.
- Proficient with version control systems (e.g., Git) and agile development methodologies.
- Skilled in troubleshooting complex data issues and delivering scalable solutions.
- Responsibilities include designing, building, and optimizing robust ETL/ELT pipelines, architecting high-performance data models, and ensuring data quality and governance.
- Lead data engineering projects, collaborate with cross-functional teams, and mentor junior engineers.
- Proactively monitor pipelines, address performance/reliability issues, document data architecture, and contribute to long-term data platform strategies.
- Onsite role based in Sunnyvale, CA; full-time position.

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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005