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Data Engineer Jobs in Olney, MD (NOW HIRING)

ExpediteInfoTech, Inc.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer Client: MD State Reference# 71 Number of Positions: Multiple Location: Primary place of performance is HYBRID with 40% onsite requirement in Baltimore City, MD. One week per month ...

Capital Technology Group

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients. You Will ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$99K - $225K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Job Number: R0246782 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Potomac, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

New

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA · On-site

$141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Bowie, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

New

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Ashton, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

New

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Olney, MD

Data Engineer information

See Olney, MD salary details

$45.5K

$132.8K

$181.7K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Olney, MD is $132,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Olney, MD look for?

The top searched job categories for Data Engineer jobs in Olney, MD are:

What cities near Olney, MD are hiring for Data Engineer jobs?

Cities near Olney, MD with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Olney, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $132,766 per year, or $63.8 per hour.

Data Engineer

ExpediteInfoTech, Inc.

Rockville, MD • On-site

$116K - $140K/yr

Other

Posted 4 days ago

Job description

Role: Data Engineer
Client: MD State
Reference# 71
Number of Positions: Multiple
Location: Primary place of performance is HYBRID with 40% onsite requirement in Baltimore City, MD. One week per month onsite is required. On-site attendance may also be required during system rollout activities in addition to the monthly requirement. May require travel to other offices in the Baltimore area as needed.
About the Role: The client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows - ensuring data is high-quality, compliant, and analytics-ready. This role may support multiple projects as needed.
Position Description: Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:
A. Design, develop, and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process, and store structured and unstructured data
B. Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting
C. Develop data reliability, efficiency, and quality checks and processes
D. Prepare data for data modeling
E. Monitor and optimize data architecture and data processing systems
F. Collaboration with multiple teams to understand requirements and objectives
G. Administer testing and troubleshooting related to performance, reliability, and scalability
H. Create and update documentation
Role and Responsibilities:
Hands-On Data Pipeline Development
  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.
  • EDW & Data Lake Implementation
  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.
  • Healthcare Data Integration
  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.
  • Data Quality, Security & Compliance
  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIP nd CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.
  • Collaboration & Delivery
  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.

Education: This position requires a bachelor's or master's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor's degree.
General Experience: The proposed candidate must have a minimum of three (3) years of experience as a data engineer.
Specialized experience: The candidate should have experience as a data engineer or in a similar role, with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable about distributed computing and parallel processing.
  • 3+ years of hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Jav plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIP nd CMS interoperability requirements.

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