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Part Time Etl Sql Developer Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern ... Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and ... Develop automated workflows using Python, SQL, and modern orchestration tools to improve data ...

ISHIR

Database Warehouse Architect

Dallas, TX

... and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high ... Strong knowledge of ETL/ELT pipelines, SQL, and analytical data modeling. * Experience with data ...

ISHIR

Database Warehouse Architect

Dallas, TX · On-site

... and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high ... Strong knowledge of ETL/ELT pipelines, SQL, and analytical data modeling. * Experience with data ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

You Have: * 2+ years of experience designing, building, and operating production ETL or ELT ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Development experience with a major ETL tool, preferably Informatica. * Experience in creating and ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Strong SQL development skills and experience with data modeling (star/snowflake schema) required ... Hands-on experience with ETL/ELT pipelines and automation scheduling required. * Familiarity with ...

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Part Time Etl Sql Developer information

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$54

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How much do part time etl sql developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time etl sql developer in the United States is $54.83, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Part Time Etl Sql Developer vs Data Analyst?

AspectPart Time Etl Sql DeveloperData Analyst
Required SkillsSQL, ETL tools, data integrationSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, database managementBusiness intelligence, reporting, data interpretation
CertificationsSQL certifications, ETL tool certificationsData analysis certifications, SQL certifications
Industry UsageIT, finance, healthcare, retailMarketing, finance, healthcare, consulting

While both roles require SQL skills and data handling, a Part Time Etl Sql Developer primarily focuses on designing and maintaining ETL processes to move and transform data, often working in data warehouses. A Data Analyst interprets data to generate insights, reports, and visualizations. The roles overlap in SQL knowledge but differ in their core responsibilities and work focus.

More about Part Time Etl Sql Developer jobs
What cities are hiring for Part Time Etl Sql Developer jobs? Cities with the most Part Time Etl Sql Developer job openings:
What are the most commonly searched types of Etl Sql Developer jobs? The most popular types of Etl Sql Developer jobs are:
What states have the most Part Time Etl Sql Developer jobs? States with the most job openings for Part Time Etl Sql Developer jobs include:
What job categories do people searching Part Time Etl Sql Developer jobs look for? The top searched job categories for Part Time Etl Sql Developer jobs are:
Part Time Etl Sql Developer jobs near you
Infographic showing various Part Time Etl Sql Developer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, and 99% Full Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $114,055 per year, or $54.8 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 20 hours ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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