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Sql Python Data Engineer Jobs in Maryland (NOW HIRING)

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... Python. • Design, build, and orchestrate robust and reliable data workflows using tools such as ... GCP or Azure experience also considered). • Expertise in SQL and familiarity with relational and ...

Data Engineer

Baltimore, MD · On-site

$125 - $150/hr

Job Overview As a Data Engineer, you will apply advanced data engineering principles to create ... Experience with automation or scripting (e.g., Python, SQL, CI/CD pipelines). Benefits The salary ...

Data Engineer

Windsor Mill, MD · On-site +1

$121K - $163K/yr

The Data Engineer plays a key role in modernizing the organization's data ecosystem by implementing ... Conduct advanced data analysis using languages such as Python and SQL * Support the development of ...

Data Engineer

Windsor Mill, MD · On-site

$116K - $139K/yr

The Data Engineer plays a key role in modernizing the organization's data ecosystem by implementing ... Conduct advanced data analysis using languages such as Python and SQL * Support the development of ...

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 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 (BigQuery)

Bethesda, MD · On-site

$122K - $147K/yr

... tool), SQL, and Python; enforce testing and documentation standards across the data layer ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a ...

AWS Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

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 ...

Data Engineer (BigQuery)

Bethesda, MD · On-site

$122K - $147K/yr

... tool), SQL, and Python; enforce testing and documentation standards across the data layer ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a ...

Data Engineer (BigQuery)

Bethesda, MD · On-site

$125 - $150/hr

... tool), SQL, and Python; enforce testing and documentation standards across the data layer ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a ...

Data Engineer (PRIME Role)

Columbia, MD · On-site

$114K - $138K/yr

Java, Python, SQL Data & Streaming: Kafka, Apache NiFi Cloud: AWS (S3, SQS, SNS) Tools: GitLab ... Mentoring engineers and promoting best practices * Driving innovation across data ingestion ...

Data Engineer

Columbia, MD · On-site

$170K/yr

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... Python : Experience with Python is desired. * SQL : Familiarity with SQL schemas and statements.

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

Baltimore, MD · On-site

$116K - $139K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles ... Experience with automation or scripting (E.g., Python, SQL, CI/CD pipelines) Attention Candidates ...

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles ... Experience with automation or scripting (E.g., Python, SQL, CI/CD pipelines) Attention Candidates ...

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 ...

Showing results 21-40

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.

Data Engineer

Suitland, MD • On-site

Accenture Federal Services
IT Services • 10K+ employees

$123K - $148K/yr

Full-time

Re-posted 23 hours ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 501 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure, ensuring efficient data flow and integration of machine learning models into production environments.
Responsibilities:
• Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
• Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
• Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
• Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
• Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
• Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
• Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
Required:
• 2 years of experience as a Data Engineer or similar role.
• Strong proficiency in Python or other programming languages relevant to data engineering.
• Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
• Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
• Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
• Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
• Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
• Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
• Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
• An active TS/SCI federal security clearance is required
Preferred:
• Experience working with large-scale distributed systems.
• Knowledge of data governance and security best practices.
• Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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