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Sql Python Data Engineer Jobs in Maryland (NOW HIRING)

Senior Data Engineer

Columbia, MD · On-site

$105K - $142K/yr

You will be a member of our small data engineering team. This is a hands-on, build-oriented ... Highly proficient in Spark, SQL, Python (will be tested) * Be able to travel to one of our ...

Data Engineer II

Baltimore, MD · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... SQL, Python, and PySpark for data ingestion, transformation, and automation * 1+ years of ...

Data Engineer

MD · On-site +1

$114K - $137K/yr

Data Engineer - AIBI Overview: We are seeking a Data Intelligence Engineer to design, build, and ... Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic. Proven ...

Senior Data Engineer

Hunt Valley, MD · On-site

$100K - $137K/yr

Develop SQL and Python solutions for transformation, automation, orchestration, validation, and ... Data Products & Engineering Collaboration * Build governed data foundations for enterprise ...

Senior Data Engineer

MD · On-site

$100K - $136K/yr

Develop SQL and Python solutions for transformation, automation, orchestration, validation, and ... Data Products & Engineering Collaboration * Build governed data foundations for enterprise ...

Palantir Foundry Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... using SQL, Python, or PySpark for data ingestion, transformation, and automation * 3+ years of ...

Data Engineer

Kettering, MD · On-site

$113K - $136K/yr

Proficiency in SQL and at least one scripting/programming language (Python, Scala, or Java) * Experience with data integration tools and platforms (e.g., Apache Spark, Kafka, Airflow, or equivalent)

Data Engineer

Baltimore, MD · On-site

$125 - $150/hr

Our stack includes tools such as Databricks, dbt, Docker, Python, SQL, and PySpark. We primarily ... Our Data Engineer is responsible for designing, building, and maintaining scalable data ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Baltimore, MD

$113K - $136K/yr

Our stack includes tools such as Databricks, dbt, Docker, Python, SQL, and PySpark. We primarily ... Our Data Engineer is responsible for designing, building, and maintaining scalable data ...

Data Engineer

Camp Springs, MD · On-site

$100 - $125/hr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Camp Springs, MD · On-site

$100 - $125/hr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · On-site

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Lead Data Engineer

Owings Mills, MD · On-site

$109K - $131K/yr

... Apache Spark, and Python. * Strong Hands on experience with SQL and NoSQL databases (DB2 ... Hands on experience with AWS cloud-based data platforms. * Experience in DevOps, CI/CD pipelines ...

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

... SQL Server). · Review existing data pipelines, data models, and transformation script to ... Python and other related technologies. · Familiarity with healthcare data systems, EHRs, or ...

Showing results 41-60

Sql Python Data Engineer information

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

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

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Infographic showing various Sql Python Data Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Columbia, MD • On-site

$105K - $142K/yr

Full-time

Re-posted 11 days ago


Key responsibilities

  • Build, operate, and maintain data structures, jobs, and integrations.

  • Collaborate with product managers and business teams to understand problems and propose solutions.

  • Mentor junior data engineers and analysts, leading by example.


Job description

Who We Are Looking For

We are a build-first, cloud-first, remote-first engineering team. DevOps, CI/CD, and TDD are foundational assumptions. We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI tool, and AWS as our infrastructure. Most on the team come from a background in large distributed systems in a retail environment.

You will be a member of our small data engineering team. This is a hands-on, build-oriented technical role. We’re looking for an experienced technical contributor who is excellent at their craft and can also lead others by example. You will own your code here – you will be expected to build, operate, and maintain the structures, jobs, and integrations that you create. This is a fully remote role.

What You Will Do:

The essential functions include, but are are not limited to the following:

  • Be a sought-after technical partner who works with product managers and business teams to understand problems and propose solutions

  • Build high quality solutions that implement engineering best practices

  • Mentor junior data engineers and analysts, leading by example

  • Maintain high operational excellence, participating in the team on-call support rotation and constantly improving our systems

What Skills You Need (Required):

  • 5+ years of professional, non-internship experience as a data engineer

  • Production experience with Databricks, Snowflake, or BigQuery platforms

  • Senior-level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)

  • Highly proficient in Spark, SQL, Python (will be tested)

  • Be able to travel to one of our warehouse locations 2-3 times per year

  • BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

  • Authorized to work in the United States for any employer

  • Preferred: Experience setting up ML environments for data science experiments

  • Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time. 

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

  • Prolonged periods of sitting: The role requires working at a desk and using a computer for extended periods.

  • Manual dexterity: Frequent use of hands and fingers to handle or operate office equipment, such as keyboards, phones, and copiers.

  • Visual acuity: Ability to read documents, spreadsheets, and computer screens for prolonged periods.

  • Occasional standing, walking, and reaching: May be required to move about the office, retrieve files, or attend meetings.

  • Lifting and carrying: Ability to lift and carry items weighing up to 15 pounds (e.g., office supplies, documents).

  • Hearing and speaking: Clear and effective communication in person and via phone or virtual platforms.

  • Minimal physical exertion: The role primarily involves sedentary work, with occasional physical activity as needed.