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Sql Python Data Engineer Jobs (NOW HIRING)

Conch Technologies Inc

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6-12 Months Contract-to-Hire Note :W2 role no C2C Required Skills & Experience * 8+ years of software ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

... Engineer with expertise in Python and AI/ML. The role focuses on leveraging Microsoft Azure data ... with SQL and data modeling concepts • Experience working with Big Data technologies (Spark ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

Develop data solutions using SQL and Python * Support healthcare data ingestion and transformation ... Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

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

AaraTechnologies Inc

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Develop data solutions using SQL and Python * Support healthcare data ingestion and transformation ... Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

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

AaraTechnologies Inc

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

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

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: Position Overview Section We are seeking a highly qualified ...

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

SIERTEK LTD

Data Engineer/Python SQL Developer*

Beavercreek, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely Position Overview Section We are seeking a highly qualified Data Engineer / Python & SQL Developer to ...

SIERTEK

Data Engineer/Python SQL Developer*

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely . PLEASE APPLY DIRECTLY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

Perfict

Oracle SQL/Python Developer

$51.50 - $71/hr

They are seeking a skilled Oracle SQL/Python Developer to lead the development of scripts for data extraction, transformation, and reporting, while monitoring processes for efficiency improvements.

Computer Task Group, Inc

$50 - $60/hr

CTG is seeking to fill a Data Engineer - Big Data (Spark/Scala, Hadoop, SQL, Python) position for our client. Location: Piscataway, NJ Duration: 12 months Duties: * Design, develop, test, and ...

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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.

Google Cloud Platform Python Data Engineer

Manhattan, NY • On-site

Capgemini America, Inc.
See more jobs at Capgemini America, Inc.external

$110K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Design, build, and optimize data pipelines on Google Cloud Platform

  • Develop ETL/ELT solutions using Dataflow, Dataproc, Pub/Sub, and BigQuery

  • Create scalable Python-based applications and data processing frameworks

Job description

Location: New York, NY (Preferred) | Charlotte, NC (Relocation Considered) | Hybrid

Compensation: $110,000 - $145,000 Base Salary + 15-20% Annual Bonus

Work Authorization: Must be authorized to work in the United States without current or future sponsorship. No visa sponsorship, transfers, or C2C arrangements available.

We are seeking a hands-on Google Cloud Platform Python Data Engineer to design, develop, and optimize cloud-native data solutions supporting enterprise analytics, AI/ML, and business intelligence initiatives.

This role is ideal for a data engineering professional with strong Google Cloud Platform expertise, advanced Python development skills, and experience building scalable batch and real-time data pipelines.

Candidates may be considered at the Senior Consultant, Managing Consultant, or Senior Manager level depending on experience.

Responsibilities
  • Design, build, and optimize data pipelines on Google Cloud Platform
  • Develop ETL/ELT solutions using Dataflow, Dataproc, Pub/Sub, and BigQuery
  • Create scalable Python-based applications and data processing frameworks
  • Design and support data lake and data warehouse architectures
  • Build event-driven solutions using Cloud Functions and Pub/Sub
  • Automate workflows with Cloud Composer (Airflow)
  • Support AI/ML and advanced analytics use cases
  • Collaborate with business, analytics, and engineering teams
  • Troubleshoot production issues and improve pipeline performance, reliability, and scalability
  • Contribute to CI/CD and cloud deployment automation efforts
Required Qualifications
  • 5+ years of data engineering or software engineering experience
  • 2+ years of hands-on Google Cloud Platform experience
  • 2+ years of Python development experience
  • Experience developing batch and streaming data pipelines
  • Advanced SQL skills
  • Experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow
  • Strong understanding of ETL/ELT, data warehousing, and data lake architectures
Preferred Qualifications
  • Financial Services experience preferred
  • Experience with Vertex AI, Gemini, LLMs, RAG solutions, or Agentic AI frameworks
  • Experience with Spark or PySpark
  • Terraform or Infrastructure as Code experience
  • Knowledge of cloud cost optimization and FinOps concepts
  • Google Cloud Professional Data Engineer certification
  • Experience supporting AI/ML data platforms
No Sponsorship

Candidates must be authorized to work in the United States without sponsorship now or in the future. This role is not available for H-1B, OPT, CPT, TN, E-3, L-1, or other employment-based visa holders requiring sponsorship.

About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.
Make it real | ;/div>
Life at Capgemini:
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

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