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Senior Sql Data Engineer Jobs (NOW HIRING)

Annexa Inc.

Senior SQL Developer

Washington, DC

Senior SQL Developer Employment Type: Onsite Annexa Inc is currently working with DC Office of ... This role involves conducting thorough data analysis to identify trends and discrepancies and ...

Interon IT Solutions

T-SQL Developer

Houston, TX · On-site

Senior SQL Developer Location: Houston, TX Job Summary We are seeking a Senior SQL Developer with ... Ensure data integrity, security, and compliance across all database environments * Mentor junior ...

Turing IT Labs

Sr. Data Engineer - Markit EDM

Boston, MA · On-site +1

$124K - $149K/yr

Senior Data Engineer Location: Boston, MA or Remote (Work Model: Boston-area candidates hybrid (2 ... The ideal candidate will bring deep experience in data engineering, ETL/ELT, SQL, and EDM systems ...

MIT RESOURCE

SENIOR SQL DEVELOPER

Saint Louis, MO · On-site

Senior SQL Developer Location: St. Louis, MO Type: Permanent Design, build, test and maintain ... RDBMS) Experience with data modeling is preferred. Experience with stored procedures and ...

Tech Tammina LLC

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Title: Senior GCP Data Engineer Location: New York, Onsite. USC & GC only Key Responsibilities ... Manage and optimize data storage using BigQuery, Cloud Storage, and Cloud SQL to ensure performance ...

SysMind Tech

Sr .SQL DBA ( with AWS RDS)

Bellevue, WA · On-site

Description: Sr. SQL DBA ( with AWS RDS) Tech Stack: MS SQL (primary), MySQL, AWS RDS Work Hours: 9 ... Working with otperson departments and developers to understand data requirements and integrate ...

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Senior Sql Data Engineer information

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$81K

$126.3K

$175K

How much do senior sql data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for senior sql data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

How does a Senior SQL Data Engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What are Senior SQL Data Engineers?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

What are the key skills and qualifications needed to thrive as a Senior SQL Data Engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.
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Senior Sql Data Engineer jobs near you
Infographic showing various Senior Sql Data Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior SQL Developer

Senior SQL Developer

Annexa Inc.

Washington, DC

Full-time

Posted 6 days ago

Job description

Senior SQL Developer
Employment Type: Onsite

Annexa Inc is currently working with DC Office of Unified Communications and we are seeking a Senior SQL Developer. The SQL Developer will be responsible for ensuring the accuracy, consistency, and integrity of data across various systems within the organization. This role involves conducting thorough data analysis to identify trends and discrepancies and collaborating with cross-functional teams to address data needs and enhance data management practices. The ideal candidate will possess strong analytical skills, proficiency in data management tools, and the ability to communicate effectively with stakeholders, driving continuous improvement in data quality and governance. The work includes development and maintenance of consulting relationships with multiple agencies that have unique systems, data, programs, business and problems requirements; project planning; coordination of multiple projects; identification of problems; and development of alert native solution. The complexity of the work is often compounded by the need to respond to agency business problems rapidly in response to Federal or District regulations. Decisions regarding what needs to be done include largely undefined issues and elements and require extensive probing and analysis to determine the nature and scope of the problems. The work requires continuing efforts to resolve unyielding problems.
Responsibilities:
  • Interfaces, independently, with high level stakeholders via meetings, emails, and phone calls to manage data projects. Gather and document requirements; and to gather sample data throughout all phases of the project to ensure data quality.
  • Works with District agency resources to analyze, compile. verify, and query data as part of data warehousing services. Develops complex SQL queries used by reporting environments and data-driven dashboard applications Creates metadata and data dictionaries.
  • Designs and documents methods to facilitate the implementation of new database systems. Designs and implements reports using SQL as well as a variety of reporting and business intelligence tools.
  • Develops and administers data standards, policies and procedures; and develops new standards, methods, and techniques. Develops common approaches to problem solving and meeting processing requirements. Develops and analyzes new projects.
  • Creates scripts to identify and correct common errors and data inconsistencies in incoming data. The incumbent will make extensive use of structured query language (SQL).
  • Troubleshoots problems involved in the input, retrieval or modification of database information and the general operation and maintenance pertinent to any of the enterprise data system elements or sub-elements.
  • Perform complex data analyses including experience validating data and identifying and correcting data inconsistencies and errors. Analyzes and defines requirements and specifications pertinent to OUC and OCTO enterprise systems and applications. Analyzes and plans for anticipated changes in data capacity requirements. Evaluates the impact of technological changes; and/or conceives of solutions to highly complex technical issues. Operate and maintain Business Intelligence systems and ancillary systems for serving up data analytics.
  • Coordinates all activities with the project manager throughout the full software development life cycle (SDLC). to include design, development, and testing.
  • Works with minimal oversight as a technical lead on data-driven reporting and applications development projects.
  • Keep abreast of current trends regarding all aspects of database management. Keep information of latest concepts, developments, approaches, and solutions to effective agency data management.
  • Performs other related duties as assigned.

Required Skills:
  • Bachelor’s degree in IT or related field or equivalent experience
  • 16 yrs Extensive knowledge of a wide range of IT standards, principles, concepts, methods, policies, system testing principles and methods
  • 16 yrs Extensive knowledge of authorized system approaches for IT pertinent to databases management.
  • 16 yrs Extensive knowledge of and skill in applying analytical methods and practices, and requirement analysis principles and methods.
  • 16 yrs Extensive knowledge in working with relational database technologies.
  • 10 yrs Extensive knowledge in creating metadata/data dictionaries; designing and implementing reports
  • 10 yrs Extensive knowledge creating database views used for the purposes of establishing live data feeds as well as the development of data-driven dashboard
  • 15 yrs Extensive knowledge of software development life cycle (SDLC), as well as, managing small IT projects with minimal oversight.
  • 15 yrs Extensive knowledge of data warehousing concepts; and extensive knowledge in working with data architects in the design of database schemas.
  • 10 yrs Knowledge of BI systems operations and maintenance
  • 10 yrs Expert knowledge of and skill in applying oral and written communication techniques; and in evaluating and reporting on accomplishments.
  • 10 yrs Demonstrated ability to speak and write clearly and effectively when dealing with various technical and non-technical audiences.
  • 16 yrs Skill in data analysis, and SQL code development.

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