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Contract Databricks Developer Jobs in Virginia (NOW HIRING)

USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning ... Knowledge of big data technologies (Spark, Hadoop, Databricks). * Background in NLP, computer ...

Cloud Engineer - Mid-Level

Herndon, VA · On-site +1

$130K - $180K/yr

Current or recent IRS contract experience strongly preferred * 7+ years of hands-on AWS cloud ... Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow ... Experience with AWS-based data infrastructure and related DevOps practices. * Demonstrated ability ...

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Azure DE or Databricks Certification Vetting: Applicants selected will be subject to a government ... as well as contract-specific affordability and organizational requirements. The projected ...

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Azure DE or Databricks Certification Vetting: Applicants selected will be subject to a government ... as well as contract-specific affordability and organizational requirements. The projected ...

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Azure DE or Databricks Certification Vetting: Applicants selected will be subject to a government ... as well as contract-specific affordability and organizational requirements. The projected ...

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Azure DE or Databricks Certification Vetting: Applicants selected will be subject to a government ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... DevOps * Experience with develop ing scalable ETL workflows or develop ing data pipelines

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... DevOps * Experience with developing scalable ETL workflows or developing data pipelines

Training Content Developer

Falls Church, VA · On-site

$131K - $136K/yr

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... Databricks jobs, Spark notebooks, Airflow schedules, Kafka topics, and repository publishing in ...

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... DevOps * Experience with developing scalable ETL workflows or developing data pipelines

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... DevOps * Experience with developing scalable ETL workflows or developing data pipelines

Senior Data Engineer

Rosslyn, VA · Hybrid

$120K - $164K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... DevOps * Experience with developing scalable ETL workflows or developing data pipelines

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

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

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Virginia? The most popular types of Databricks Developer jobs in Virginia are:
What are popular job titles related to Contract Databricks Developer jobs in Virginia? For Contract Databricks Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Virginia look for? The top searched job categories for Contract Databricks Developer jobs in Virginia are:
What cities in Virginia are hiring for Contract Databricks Developer jobs? Cities in Virginia with the most Contract Databricks Developer job openings:
AI ENGINEER

Contractor

Posted 2 days ago


Job description

Job Title: AI ENGINEER
Location: Reston, VA
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
Job Description:
  • Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
  • Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
  • Build and maintain AI pipelines, from data processing to model deployment.
  • Analyze complex datasets to uncover insights and improve model performance.
  • Ability to analyze complex problems and develop effective AI-driven solutions.
  • Deploy AI solutions on cloud platforms such as AWS.
  • Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
  • Deep understanding of deploying AI applications within a CICD environment, specifically AWS.

Preferred qualifications:
  • Experience with MLOps tools (e.g., MLflow, Kubeflow).
  • Knowledge of big data technologies (Spark, Hadoop, Databricks).
  • Background in NLP, computer vision, or other advanced AI techniques.
  • Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).

Required qualifications:
  • Strong programming skills in Python, R, or Java.
  • Hands-on experience with machine learning algorithms and frameworks.
  • Familiarity with major cloud platforms for AI deployment.
  • Strong analytical and problem-solving skills.
  • Solid foundation in mathematics and statistics.