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Sql Python Data Engineer Jobs in Cary, NC (NOW HIRING)

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Languages: SQL (standard and DB-specific), Python, Scala, Bash * Framework: Apache Iceberg ...

IBM

Data Engineer Intern 2027

Research Triangle Park, NC · On-site

Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate ... Exposure to programming languages (e.g., JavaScript, SQL, Python) and basic understanding of Hybrid ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

SQL and T-SQL: * Proficient in writing complex SQL queries and stored procedures. * Familiarity ... Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks.

BioAgilytix

Data Engineer

Durham, NC · On-site

$125 - $150/hr

Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization. * Experience developing enterprise data integration solutions ...

Deloitte

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Qualifications Required * 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets. * 7+ years of hands-on experience with SQL and Python, including ...

BioAgilytix

Data Engineer

Durham, NC

$110K - $132K/yr

Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization. * Experience developing enterprise data integration solutions ...

BioAgilytix

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization. * Experience developing enterprise data integration solutions ...

BioAgilytix

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization. * Experience developing enterprise data integration solutions ...

BioAgilytix Labs, LLC

Data Engineer

Durham, NC · On-site

$125 - $150/hr

Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization. * Experience developing enterprise data integration solutions ...

InterSources Inc

NC FAST Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Required : • Experience with Data Engineering - 5 Years • Experience with SQL - 8 Years • ... Python, Java, Scala, or NodeJS - 3 Years Preferred : • Experience with AWS and / or Azure ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices * Apache Sparkproficiency ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices * Apache Sparkproficiency ...

Focused HR Solutions

MO 85-Power BI and Data Engineer

Cary, NC · On-site

$107K - $128K/yr

SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years. * Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 ...

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... SQL-based. * Python (Non-Negotiable) * Used for automation and scripting. * Strong to advanced ...

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Showing results 41-60

All JobsSql Python Data Engineer JobsSql Python Data Engineer Jobs in Cary, NC

Sql Python Data Engineer information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

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 Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 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.

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Cary, NC 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 $120,171 per year, or $57.8 per hour.

Lead Data Engineer

Raleigh, NC • On-site

Envestnet
See more jobs at Envestnetexternal

$99K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

Description

The application window will close September 01, 2026. 

Job Location   

The primary work location for this role is Raleigh, NC with a hybrid work model.   

  

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

   

The Team You’ll Join  

The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and be responsible for data pipeline solutions design and development, troubleshooting, and optimization tuning on the next generation data and analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on functional teams or projects.

How You’ll Contribute   

Designs, constructs, installs, tests and maintains highly scalable data management systems that meet business requirements and industry practices. Individuals in this family develop data sets for data modeling, mining and production and integrate new data management technologies and tools into existing structures and processes and answer impactful business questions.
•    Applies advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the corporation.
•    Gathers and processes raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks.
•    Implements and optimizes data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
•    Understands and enforces appropriate data master management techniques.
•    Leads the implementation of tools and frameworks for automating the identification of data quality issues.
•    Understands the challenges that the Technology organization faces in their day-to-day work, and partners with them to design viable data solutions.
•    Works with stakeholders to understand and solve real world problems.
•    Provides subject matter expertise and guidance for internal and external customers.
•    Estimates data engineering tasks to within predictable variances, given specified functional and business requirements.
•    Plays a lead role in planning, providing advice and guidance, mentoring less experienced engineers, and monitoring emerging technologies.
•    Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.
•    Delivers end-to-end data and analytics solutions, including data ingestion, transformation, analytics, and visualization capabilities in partnership with Data & Analytics stakeholders.
•    Designs and deploys scalable, fault-tolerant data pipelines and databases to support enterprise analytics and reporting needs.
•    Leverages modern data engineering and AI technologies, including Python, Spark, Kafka, AWS, and Generative AI frameworks (RAG, embeddings, agents, and LLMs) to develop innovative data solutions.
•    Develops and communicates solution architectures, findings, and recommendations to both technical and business stakeholders, ensuring alignment and successful adoption.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Expert experience in the following:
    • Languages: SQL (standard and DB-specific), Python, Scala, Bash
    • Framework: Apache Iceberg / Lakehouse, Spark, Kafka
    • Data Platform: Snowflake or Databricks
    • Tools/Products: dbt, Airflow, replication tools, semantic layer tools
    • Gen AI: Agents, Skills, Memory, Context Engineering, Prompt Engineering, AI First Development
    • Cloud Computing: AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM. 
    • Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. 
    • Knowledge of CI/CD, Terraform 
  • Solid scripting skills (e.g., bash/shell scripts, Python). 
  • Proven work experience in the following: 
    • Data streaming technologies. 
  • Using LLMs, creating RAG, choosing vector vs graph db for embedding, etc. 
  • Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. 
  • Linux command-line operations. 
  • Candidate should be able to lead the team, communicate with business, gather and interpret business requirements. 
  • Experience with agile delivery methodologies using Jira or similar tools.
  • Experience working with remote teams.

Nice-to-Haves  

•    AWS / Claude / Snowflake data certifications, Professional certification is a plus.
•    Bachelor Degree in Computer Science or relevant field, Masters Degree is a plus.

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

  

Our Investment in You 

At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.  

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

   

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.      

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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