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Sql Python Data Engineer Jobs in Maryland (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery. * Big Data Processing : Leverage ... Strong proficiency in Python or other programming languages relevant to data engineering. * Any ...

Dlapiper

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery. * Big Data Processing : Leverage ... Strong proficiency in Python or other programming languages relevant to data engineering. * Any ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery. * Big Data Processing : Leverage ... Strong proficiency in Python or other programming languages relevant to data engineering. * Any ...

Soliel LLC

Senior Data Engineer

Annapolis Junction, MD · On-site

$110K - $120K/yr

Senior Data Engineer LOCATION: Fort Eustis / Hybrid (3 days per week onsite) CLEARANCE: Secret or ... Proficiency in SQL, Python, or Scala for data transformation. * Experience with relational database ...

Syndicus, Inc.

Data Engineer

Columbia, MD · Hybrid

$138K - $185K/yr

Data Engineer Required Qualifications * A current U.S. Government Secret Security Clearance is ... Java, Python, SQL Data & Streaming: Kafka, Apache NiFi Cloud: AWS (S3, SQS, SNS) Tools: GitLab ...

Real Soft, Inc.

Data Engineer

Columbia, MD · On-site

Citizenship required . * 14+ years of experience in data engineering, software engineering, or ... Java, Python, SQL Data & Streaming: Kafka, Apache NiFi Cloud: AWS (S3, SQS, SNS) Tools: GitLab ...

Info Way Solutions

Sr Data Engineer/Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Responsibilities : • Build and manage data pipelines using Python, Pyspark, SQL for batch and ... Required : • Experience: 8+Years for Sr Data Engineer • Experience: 5+Years for Data Engineer ...

Magpie Health Analytics, Inc.

Data Engineer

Baltimore, MD · On-site

$125 - $150/hr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

Aramark

Jr. Data Engineer

Rockville, MD

$53K - $60K/yr

... SQL, Python, or other programming languages through coursework, projects, internships, or self ... data modeling, metadata management, cloud platforms, or related data engineering concepts ...

Aramark

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... SQL, Python, or other programming languages through coursework, projects, internships, or self ... data modeling, metadata management, cloud platforms, or related data engineering concepts ...

Smart Synergies

Senior Data Engineer

Bethesda, MD · On-site

$113K - $154K/yr

Create and maintain dimensional models and Gold-layer datasets using SQL, Python, and PySpark ... Work closely with BI developers to align data models with reporting needs and troubleshoot ...

Aramark

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... SQL, Python, or other programming languages through coursework, projects, internships, or self ... data modeling, metadata management, cloud platforms, or related data engineering concepts ...

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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.

Sql Python Data Engineer jobs near you
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
Learn more about Accenture Federal Servicesexternal

$123K - $148K/yr

Full-time

Re-posted 13 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

Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:
  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: 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:
  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to 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 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.
Preferred Skills:
  • 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.
Clearance:
  • An active TS/SCI federal security clearance is required


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