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Data Analyst Python Sql Jobs in Clarksburg, MD (NOW HIRING)

Python, SQL, AWS Developer

Reston, VA · On-site

$52.25 - $72/hr

Top 5 Technical Skills: * Python * SQL * AWS Data Services * Jira * BI concepts Key ... Collaborate with business stakeholders, data analysts, and developers to understand business ...

New

Proficiency in Python and SQL for data manipulation and analysis. * Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. * Experience working with LLMs ...

Proficiency in SQL for data querying and manipulation. * Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar.

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Proficiency in Python and SQL for data manipulation and analysis. Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. Experience working with LLMs ...

Proficient in SQL and Python scripting basics * Experience with Agile methodologies and Jira for story creation * Strong analytical and problem-solving abilities * Ability to work with disparate data ...

They are seeking a Big Data Analyst to closely support mission partners, working with software ... Python, SQL, Spark, PySpark or similar. • Must be able to work on-site in Herndon, VA, with the ...

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to ... Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce ...

Data Analyst II

Reston, VA · Hybrid

$89K - $121K/yr

... like Python) * Strong Excel and SQL skills required, with hands-on experience with data visualization tooling (such as Tableau or similar tools) * Strong analytic skills and the ability to share ...

New

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Proficiency in SQL: Essential for querying and managing data in relational databases, including ... Experience with statistical programming languages such as Python (using libraries like Pandas ...

Senior Analyst

Rockville, MD · On-site

$115K/yr

Leveraging educational background in using Python, SQL, etc. to review data and methods to ... Analyze, develop, and approve technical documentation as required; Use academic and industry ...

Python Developer - AWS, SQL

Reston, VA · On-site

$52.25 - $72/hr

Python Developer - AWS, SQL Onsite - 2-3 days per week in Reston, VA or 3 days per week in ... Collaborate with business stakeholders, data analysts, and developers to understand business ...

Leveraging educational background in using Python, SQL, etc. to review data and methods to ... Analyze, develop, and approve technical documentation as required; Use academic and industry ...

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical ... Languages: SQL, R, Python, Java * Active TS/SCI clearance with polygraph required ...

Leveraging educational background in using Python, SQL, etc. to review data and methods to ... Analyze, develop, and approve technical documentation as required; Use academic and industry ...

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Data Analyst Python Sql information

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$35K

$85.2K

$140.2K

How much do data analyst python sql jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data analyst python sql in Clarksburg, MD is $85,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $100,000.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Clarksburg, MD look for? The top searched job categories for Data Analyst Python Sql jobs in Clarksburg, MD are:
What cities near Clarksburg, MD are hiring for Data Analyst Python Sql jobs? Cities near Clarksburg, MD with the most Data Analyst Python Sql job openings:

Python, SQL, AWS Developer

SES

Reston, VA • On-site

$52.25 - $72/hr

Other

Posted yesterday

New


Job description

Systems Engineering Services is seeking a Python, SQL, AWS Developer based in the Reston, VA area.

Top 5 Technical Skills:

  1. Python
  2. SQL
  3. AWS Data Services
  4. Jira
  5. BI concepts

Job Description:

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT processes using Python and SQL.
  • Develop and optimize complex SQL queries, stored procedures, and database objects for reporting and analytics.
  • Perform source-to-target data mapping and execute comprehensive data quality validation to ensure data integrity and consistency.
  • Work with AWS data services, including AWS Lambda, Amazon Redshift, Apache Iceberg, and Amazon Glacier, to build and support scalable data solutions.
  • Collaborate with business stakeholders, data analysts, and developers to understand business requirements and translate them into technical solutions.
  • Develop, execute, and maintain test cases for data validation, ETL processes, and reporting solutions.
  • Create and maintain technical documentation, including design documents, mapping documents, data dictionaries, and operational procedures.
  • Participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
  • Track work items, defects, and enhancements using JIRA and contribute to continuous process improvements.
  • Troubleshoot production issues, perform root cause analysis, and implement corrective actions.

Required Qualifications

  • Strong programming experience in Python.
  • Advanced proficiency in SQL, including complex query development and performance optimization.
  • Solid understanding of Business Intelligence (BI) concepts, reporting, and analytics.
  • Strong knowledge of relational databases and database design principles.
  • Hands-on experience with AWS services
  • Strong documentation and technical writing skills.

Jake Lutman

Technical Recruiter

Systems Engineering Services