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Sql Python Data Engineer Jobs (NOW HIRING)

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/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 ...

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

PLP Group

$125 - $150/hr

Senior Python Data Engineer / Applied AI Engineer**---**About The Role*** Join a cybersecurity ... Work with SQL and PostgreSQL to analyze, debug, and improve data flows.* Contribute to internal ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

Expertise in SQL, Python, data modeling, and distributed processing. Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.). Strong communication skills and the ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... SQL * - Python * - Spark, Hive, Airflow Preferred Skills: * - Cloud data platforms (AWS/GCP/Azure ...

AaraTechnologies Inc

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role 0AaraTech Inc is ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

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Sql Python Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 9, 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:

Sql Python Data Engineer jobs near you
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

Dallas, TX • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$105K - $120K/yr

Full-time

Re-posted 22 days ago

Job description

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 candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products. Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable.
Experience: 5+ years in Data Engineering with at least 3 years of hands-on experience in Snowflake and dbt.
Key Responsibilities
• Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt.
• Data ingestion experience with Fivetran or similar ELT tools.
• Perform source-to-target mapping and implement data transformation frameworks.
• Develop and optimize Snowflake databases, schemas, and data pipelines.
• Implement data quality controls, reconciliation processes, and monitoring frameworks.
• Optimize query performance, warehouse utilization, and overall platform efficiency.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support DataOps and CI/CD practices for data engineering solutions.
• Leverage Snowflake CoCo capabilities to accelerate data engineering activities.
• Ensure compliance with security, governance, and data management standards.
Required Technical Skills
Data Platform
• Snowflake
• dbt (Core / Cloud)
• Fivetran
• SQL (Advanced)
• Python
Data Engineering
• Data Warehousing
• ETL / ELT Development
• Data Modeling
• Source-to-Target Mapping
• Data Quality & Reconciliation
• Performance Tuning
Snowflake Expertise
• Snowpipe
• Streams & Tasks
• Data Sharing
• Role-Based Security
• Query Optimization
• Warehouse Management
Nice to Have:
Cloud Technologies Experience
• AWS (Preferred)
• S3
• Lambda
• Cloud-native Data Services
• Terraform
Salary Range: $105,000 to $120,000 per year

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