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Weekend Data Engineering Jobs in Maryland (NOW HIRING)

Index Analytics

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization * Set up and maintain effective data compliance policies * Build scalable ...

INDEX ANALYTICS LLC

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization * Set up and maintain effective data compliance policies * Build scalable ...

Deloitte

Palantir Foundry Data Engineer

Baltimore, MD

$113K - $136K/yr

The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment. Work you'll do As a Data Engineer II ...

Agile Defense, Inc.

Data Engineer

Aberdeen Proving Ground, MD · On-site

$122K - $147K/yr

This position requires a strong foundation in data engineering concepts, proficiency in relevant technologies, and the ability to collaborate with cross-functional teams to deliver scalable and ...

Core4ce

Data Engineer

Fort George G Meade, MD · On-site

$135K - $190K/yr

This is a mission-critical engineering role - the systems built here directly enable the cyber ... Build and optimize data ingestion pipelines that collect, transform, and load DoDIN security data ...

Core4ce

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

This is a mission-critical engineering role - the systems built here directly enable the cyber ... Build and optimize data ingestion pipelines that collect, transform, and load DoDIN security data ...

Agile Defense

Data Engineer

Aberdeen Proving Ground, MD · Hybrid

$122K - $147K/yr

This position requires a strong foundation in data engineering concepts, proficiency in relevant technologies, and the ability to collaborate with cross-functional teams to deliver scalable and ...

Software Guidance & Assistance

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineering & Big Data Technologies * Experience building data pipelines using Apache Spark (PySpark preferred) and SQL * Experience with SQL query engines (Hive, Trino/Presto, or similar) and ...

Real Soft, Inc.

Data Engineer (PRIME Role)

Columbia, MD · On-site

$114K - $138K/yr

At least 9 years experience, but 14+ years of experience is preferred in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience ...

Deloitte

Palantir Foundry Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment. Work you'll do As a Data Engineer II ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... data engineering. * Any additional experience with any of the following: * Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster). * Solid ...

CREATIVE GLOBAL CONSULTING

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ensure high availability and performance. * Work with Data Warehouses, Data ...

New

Creative G C

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ensure high availability and performance. * Work with Data Warehouses, Data ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · Hybrid

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering * 4+ years of progressive professional experience in a data engineering or backend software engineering role * Security ...

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All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Maryland

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Maryland?

The most popular types of Data Engineering jobs in Maryland are:

What cities in Maryland are hiring for Weekend Data Engineering jobs?

Cities in Maryland with the most Weekend Data Engineering job openings:

Weekend Data Engineering jobs near you

Data Engineer

Index Analytics

Baltimore, MD • On-site, Remote

$126K - $142K/yr

Other

Medical, Retirement

Re-posted 14 days ago

Job description

Index Analytics, LLC, is a rapidly growing Baltimore-based small business providing health related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff's experience through career development and educational opportunities.
Job Overview
As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and optimization of data. You will be responsible for building scalable pipelines using ETL tools, ensuring that data is efficiently extracted, transformed, and loaded into target systems. Your work will involve deploying robust data solutions into production environments and migrating information from legacy data warehouses by leveraging modern cloud architecture, particularly within Microsoft Azure SQL and Snowflake environments. Automating the flow of data for seamless consumption will be a key aspect of your daily responsibilities.
You will also play a pivotal role in establishing business processes that support strong data governance practices. This includes designing and advising on comprehensive data quality rules and setting up effective data compliance policies to ensure organizational standards are met. Exposure to ETL pipeline development, cloud-based data migration, and the implementation of data governance frameworks will be highly beneficial. Experience with optimizing data workflows, deploying solutions in cloud environments, and automating data processes will help you excel in this position.
Responsibilities
This role is centered on Snowflake as the primary data platform. Candidates are expected to demonstrate deep experience designing, developing, and optimizing enterprise-scale data solutions within Snowflake environments.
  • Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization
  • Set up and maintain effective data compliance policies
  • Build scalable data pipelines using ETL tools and processes
  • Deploy data solutions to production environments
  • Migrate data from legacy data warehouses leveraging cloud architecture principles
  • Automate the flow of data for efficient consumption
  • Build and implement business processes that enable data governance
  • Design and advise on data quality rules

  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three (3) of the past five (5) years. Must be able to obtain a U.S. Federal government client badge and pass a Public Trust clearance.
  • Bachelor's Degree or equivalent OR 4 years' relevant experience in lieu of degree
  • 7 additional years of relevant experience
  • Ability to gain and hold a Public Trust clearance

Technical Requirements:
  • Hands-on experience with:
    • Microsoft SQL Server (Intermediate proficiency)
    • Snowflake platform (Intermediate proficiency)
    • ETL pipeline design and development (Intermediate proficiency)
    • Microsoft Azure SQL (Intermediate proficiency)
  • Experience building and deploying data pipelines in production environments
  • Strong understanding of data engineering principles and data lifecycle management

Professional Requirements:
  • Ability to work independently and collaboratively in cross-functional teams
  • Strong organizational, time management, and multitasking skills
  • High attention to detail and commitment to data quality and accuracy

Preferred Qualifications
  • Experience with modern cloud data architecture and platforms
  • Proficiency with ETL tools such as Informatica, Talend, Azure Data Factory, or dbt
  • Experience with cloud-based governance frameworks and implementation
  • Experience with automation or scripting (E.g., Python, SQL, CI/CD pipelines)

Attention Candidates
We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com.
If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.
The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate's skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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