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Sql Data Engineer Jobs (NOW HIRING)

Data Engineer Lead

Richmond, VA · On-site

$113K - $136K/yr

Role - Data Engineer Lead Location - Richmond, VA Fulltime / Hybrid Qualifications: • 8-10 years ... • Strong SQL skills, ability to perform effective querying involving multiple tables and ...

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

... Engineer to join our team on a hybrid basis in the NY/NJ area. The ideal candidate will have ... Write complex SQL queries and design scalable data models and data warehouse solutions for ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

R0229283 Data Engineer The Opportunity Ever-expanding technology like IoT, machine learning, and ... Knowledge of relational and non-relational database technologies, including SQL or GraphQL

Salesforce Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Salesforce Data Engineer Job Code: AZ 13609 Client: Arizona Department of Economic ... The role will focus on decommissioning a legacy SQL database intermediate layer and establishing ...

New

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Python, Spark, Unix, SQL Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus Azure Cloud Technologies: Azure Data ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Snowflake Data Engineer - DBT

Johnston, RI · On-site

$115K - $138K/yr

Write highly optimized SQL for large-scale data processing. * Design and implement data warehouse ... Mentor junior data engineers and conduct code/design reviews. * Collaborate with business analysts ...

We use Objective C and Swift programming languages to create native applications for iPhone ... Data mining/querying using SQL - basic to intermediate SQL is helpful Experience with accounting ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Data Engineer Location: Phoenix, AZ (Day 1 Onsite) Job Type: Contract - Long Term ... Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing ...

Data Engineer

Huntsville, AL · On-site

$113K - $136K/yr

... of SQL, data modeling, and database management. • Strong analytical and problem-solving skills ... Azure Data Engineer Associate. • Experience supporting federal government programs. • ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... Mentor junior engineers and promote best practices in data engineering. Participate in meetings ...

Showing results 21-40

SQL Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do sql data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for sql 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 data engineer?

A SQL Data Engineer designs, develops, and maintains data systems, ensuring efficient storage, processing, and retrieval of structured data. They work with SQL databases, ETL pipelines, and data warehousing solutions to support analytics and business intelligence. Their responsibilities include writing complex SQL queries, optimizing database performance, and ensuring data integrity. SQL Data Engineers collaborate with data analysts, data scientists, and software developers to deliver reliable data solutions that drive business insights.

What does a SQL data engineer do?

A typical day for a SQL Data Engineer involves designing and maintaining databases, writing and optimizing complex SQL queries, and developing ETL (Extract, Transform, Load) processes to ensure seamless flow of data across systems. You'll often collaborate with data analysts, software engineers, and business stakeholders to address data needs and support analytical reporting. Regular tasks may include troubleshooting performance issues, ensuring data quality, and implementing security best practices. The work is both collaborative and independent, offering a balanced mix of teamwork and focused problem-solving.

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

To thrive as a SQL Data Engineer, you need strong expertise in database design, SQL programming, data modeling, and ETL processes, typically supported by a degree in computer science or related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or MySQL, and certifications such as Microsoft Certified: Azure Data Engineer Associate, are highly valued. Excellent problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly are important soft skills in this position. These qualifications ensure you can efficiently build, optimize, and maintain data infrastructure critical for data-driven decision-making.

Do SQL data engineers work with SQL?

Yes, SQL data engineers work extensively with SQL to design, develop, and maintain databases and data pipelines. Proficiency in SQL is essential for querying, transforming, and managing data efficiently in their role.

Is SQL in demand in 2026?

SQL Data Engineers are expected to remain in high demand through 2026 due to the continued growth of data-driven decision making and the need for efficient database management. Skills in SQL, along with knowledge of cloud platforms and data warehousing tools, will enhance job prospects in this field.
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Infographic showing various Sql Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer Lead

Richmond, VA • On-site

Bitwise
IT Services • 1 - 5K employees

$113K - $136K/yr

Other

Posted 23 days ago


Job description

Role - Data Engineer Lead
Location - Richmond, VA
Fulltime / Hybrid
Job Description Qualifications:
8-10 years of experience as a Lead Data Engineer with a strong focus on Databricks & Azure Data Factory.
• Strong experience leading the Data Engineering teams working on ADF & Databricks. Work with the teams providing technical approaches and solutions.
• Proven experience with data warehousing concepts and best practices.
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Strong understanding of data modeling and data quality principles.
• Strong communication & collaboration skills, should be able to work closely with customer driving technical conversations.
• Experience with Agile development methodologies.
• Ability to work independently and as part of a team.
• Lead team and drive through technical challenges and solutions. Drive technical calls with customer
• Focus on continuous value additions and innovations
• Experience with any other ETL tool (Talend, Informatica or similar)
• Good to have Insurance domain knowledge
• Good to have exposure to Gen AI concepts
Databricks
• Hands-on experience with Databricks features such as delta lake, clusters, notebooks, jobs, and workspaces.
• Design, develop, and deploy data pipelines using Databricks, including data ingestion, transformation, and loading (ETL) processes.
• Develop and maintain high-quality, scalable, and maintainable Databricks notebooks using Python.
• Work with Delta Lake and other advanced features.
• Leverage Unity Catalog for data governance, access control, and data discovery.
• Experience working with Parquet files & Delta files for data storage and processing.
• Integrate with various data sources, including but not limited to databases and cloud storage (Azure Blob Storage, ADLS, Synapse), and APIs.
• Perform data quality checks and validation to ensure data accuracy and integrity.
ADF
• Strong working Knowledge and experience in Microsoft Azure, Azure Data Factory, Synapse Analytics, Azure SQL, Data Pipelining, Data Transformation, ETL, copy activity, custom Azure development.
• Develop and optimize data pipelines for performance and cost-effectiveness.
• Sound skills and hands on experience with Azure Data Lake, SQL Data Warehouse Azure Blob, Azure Storage Explorer • Sound knowledge on Azure DevOps, CICD Processes, Release Processes
• Sound Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse
• Troubleshoot and resolve data pipeline issues effectively.