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Sql Python Data Engineer Jobs in Queens, NY (NOW HIRING)

CEDENT

Data Engineer - Hybrid

Newark, NJ · Hybrid

$119K - $143K/yr

Looking for data engineers with 9+ years of experience. 1. Experience developing and deploying application code using SQL, Python, spark. 2. 3 to 5 years' experience developing and deploying data ...

BDG

Data Engineer

New York, NY · On-site +1

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data ... Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... This will include writing and maintaining code in Python and SQL, developing on AWS, and selecting ...

BDG

Data Engineer

New York, NY · On-site

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data ... Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and ...

Northern Base

Snowflake Lead

New York, NY · Remote

Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks * Data Engineering: ELT/ETL patterns, data modeling, CDC concepts * Python: Data processing, automation, Snowpark (preferred)

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Dlapiper

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

The ideal candidate will have: • 5-10 years of data engineering experience. • Proficient in coding in Python, PySpark, Java 17/21, Spring Boot, and SQL Databases. • Strong hands-on experience ...

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

K Health

Senior Data Engineer

New York, NY · Hybrid

$116K - $157K/yr

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem ...

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

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Showing results 41-60

All JobsSql Python Data Engineer JobsSql Python Data Engineer Jobs in Queens, NY

Sql Python Data Engineer information

See Queens, NY salary details

$46.4K

$135.4K

$185.2K

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 Queens, NY is $135,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,500.00 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 near Queens, NY are hiring for Sql Python Data Engineer jobs?

Cities near Queens, NY with the most Sql Python Data Engineer job openings:

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Queens, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,355 per year, or $65.1 per hour.

Data Integration Developer - SQL, Python & Azure Data Factory 3638332

Jersey City, NJ • On-site

Axiom Path
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Axiom Pathexternal

$50 - $55/hr

Full-time

Re-posted 20 days ago

Job description

Be Part Of A High-Performing Team:

Join the technology organization of a global financial institution supporting critical compliance, analytics, and reporting initiatives. This collaborative team brings together data developers, business analysts, and data analysts to build dependable data solutions for a highly regulated environment. The group values technical quality, careful validation, strong problem-solving, and close partnership between development and quality assurance.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099)
  • Hybrid opportunity based in Jersey City, New Jersey.
  • Work on data solutions that directly support compliance technology, reporting, and analytical decision-making.
  • Collaborate with experienced data and business professionals in an enterprise financial services environment.
  • Gain exposure to the full data delivery lifecycle, including development, testing, automation, performance optimization, and production-quality validation.

How You Will Make An Impact:

  • Develop scripts, processes, and tools that ingest, transform, validate, and deliver data for analytics and reporting.
  • Write efficient SQL queries, stored procedures, and data transformation logic.
  • Design and maintain ETL pipelines using Python, Azure Data Factory, or comparable data integration tools.
  • Automate recurring data workflows to improve reliability and reduce manual processing.
  • Perform development-level quality assurance, including data reconciliation, defect identification, and regression testing.
  • Monitor and improve data quality, completeness, consistency, and accuracy.
  • Troubleshoot data pipeline issues and optimize SQL queries and ETL processes for performance.
  • Partner with business analysts, data analysts, and developers to translate reporting requirements into reliable technical solutions.
  • Document data workflows, validation rules, dependencies, and technical processes.

Do You Bring Proven Success in Data Integration Development and Quality Assurance?

  • 3–5 years of professional experience in data development, ETL engineering, data integration, or a closely related role.
  • Strong hands-on SQL skills, including complex queries, joins, transformations, troubleshooting, and performance tuning.
  • Experience developing scripts or data-processing workflows with Python.
  • Practical experience with Azure Data Factory or another enterprise ETL platform.
  • Knowledge of data warehousing concepts, dimensional modeling, and structured data delivery.
  • Demonstrated ability to test and validate data pipelines, transformation logic, and downstream outputs.
  • Experience investigating data discrepancies and performing source-to-target reconciliation.
  • Strong development discipline with an understanding of quality assurance and defect-management practices.
  • Ability to collaborate effectively with business analysts, data analysts, developers, and other technical stakeholders.
  • Detail-oriented work style with strong analytical, documentation, and problem-solving skills.
  • Financial services, banking, compliance technology, or regulatory data experience is preferred.