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Python Data Developer Jobs in Washington (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.30K - $148.10K/yr

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 ...

Cymertek

Java, Scala, Python Developer

Reston, VA · On-site

Java, Scala, Python Developer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

WorkNova LLC

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal ...

Cymertek

Java, Scala, Python Developer

Chantilly, VA · On-site

Java, Scala, Python Developer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Cymertek

Java, Scala, Python Developer

Tysons, VA

Java, Scala, Python Developer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Cymertek

Java, Scala, Python Developer

Reston, VA

Java, Scala, Python Developer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Cymertek

Java, Scala, Python Developer

Tysons, VA · On-site

Java, Scala, Python Developer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Hexaware Technologies, Inc

Python Developer

Reston, VA

$52.25 - $72/hr

The Senior Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills ...

FutureTech Consultants LLC

Big Data Developer @ W2

Mclean, VA · Hybrid

$54.25 - $70.50/hr

Big Data Developer Location: Rockville, MD (or) McLean, VA (Hybrid 3 days onsite) Duration: 6+ ... Python scripting or automation experience. * Foundational understanding of application security ...

Btree Solutions

PYTHON DEVELOPER

Reston, VA

$52.25 - $72/hr

PYTHON DEVELOPER Location: Richmond, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract ... Data engineering experience would be helpful * Focused on more backend development * Production ...

BTree Solutions, Inc.

PYTHON DEVELOPER

Reston, VA · On-site

$52.25 - $72/hr

PYTHON DEVELOPER Location: Richmond, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract ... Data engineering experience would be helpful * Focused on more backend development * Production ...

Vision IT USA Inc

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Very strong in Python application development ( not Data Engineer) Strong AWS Lambda - Serverless Strong in Step Functions Strong application development with 6 to 10+ years of experience. Visa: NO ...

Vision IT USA Inc

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Very strong in Python application development ( not Data Engineer) Strong AWS Lambda - Serverless Strong in Step Functions Strong application development with 6 to 10+ years of experience. Visa: NO ...

VisionIT

Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

Very strong in Python application development ( not Data Engineer) Strong AWS Lambda - Serverless Strong in Step Functions Strong application development with 6 to 10+ years of experience. Visa: NO ...

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Python Data Developer information

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Washington? For Python Data Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Washington look for? The top searched job categories for Python Data Developer jobs in Washington are:
What cities in Washington are hiring for Python Data Developer jobs? Cities in Washington with the most Python Data Developer job openings:
Python Data Developer jobs near you
Data Engineer

Data Engineer

Accenture Federal Services

Suitland, MD • On-site

$123.30K - $148.10K/yr

Other

Posted 23 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 425 rated business services

Job description

ob 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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