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Sql Data Engineer Jobs (NOW HIRING)

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

PSRTEK

BI Data Engineer- REMOTE

New York, NY · On-site

SQL Development: Create complex SQL queries, SSIS packages, stored procedures, and indexes. * Data Quality: Establish standards for data accuracy, completeness, and governance. * Analytics:

Apptad, Inc.

Azure Data Engineer

Jackson, MI · On-site

$102K - $123K/yr

Position-Azure Data Engineer Location-Jackson, MI (3 days onsite) * Hands on Experience in Azure ... Strong hands on creating the SQL stored procedures - Functions, Stored Procedures, how to call one ...

New

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience ...

Saransh Inc

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Role: AWS Data Engineer Location: Plano, TX (Onsite from Day 1) Job Type: Full Time Experience ... Data science, MuleSoft, Kafka connect, SQL, Data visualization The opportunity: * Design, develop ...

WME Group

Senior Data Engineer

Beverly Hills, CA · On-site

$122K - $166K/yr

  • Medical

  • Retirement

  • PTO

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

RIT Solutions, Inc.

Jr. Data Engineer - IICS

Arlington, VA · On-site

$131K - $158K/yr

... Data Engineer - IICS to support a top-tier US Brokerage firm. The role involves building and ... SQL, data modeling, data loading, transformations; security/roles a plus). • +2 years of ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position requires a solid understanding of SQL, data design principles, and data processing methods. The Data Engineer will also help implement and maintain data models, schemas, and participate ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position requires a solid understanding of SQL, data design principles, and data processing methods. The Data Engineer will also help implement and maintain data models, schemas, and participate ...

Allied Solutions LLC

Data Engineer

Carmel, IN

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position requires a solid understanding of SQL, data design principles, and data processing methods. The Data Engineer will also help implement and maintain data models, schemas, and participate ...

Wmeimg

Senior Data Engineer

Beverly Hills, CA · On-site

$122K - $166K/yr

  • Medical

  • Retirement

  • PTO

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Tech Tammina LLC

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Manage and optimize data storage using BigQuery, Cloud Storage, and Cloud SQL to ensure performance ... data engineering. * 8+ years of hands-on experience designing, building, and maintaining data ...

Cushman & Wakefield

Azure SQL Data Architect - Remote

Del Valle, TX · Remote

$70.50 - $90.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Title Azure SQL Data Architect - Remote Summary As an Azure SQL Data Architect, you'll play a ... Collaborate with software developers, system administrators, and data analysts to meet project ...

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SQL Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do sql data engineer jobs pay per year?

As of Aug 20, 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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SQL Data Engineer jobs near you
Infographic showing various Sql Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Pediatric Associates

San Pedro, CA • On-site

$116K - $140K/yr

Full-time

Re-posted 12 days ago

Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

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