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Professional Data Jobs in Washington (NOW HIRING)

Capital One

Manager, Data Analysis - US Card

Mclean, VA · Hybrid

At least 7 years of professional data analysis work experience * At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in people management * At least 1 years of ...

New

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Detail-oriented with a commitment to data quality and accuracy Preferred Certifications Certified Data Management Professional (CDMP) from DAMA International. IBM Certified Data Architect - Big Data.

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Professional Data information

What is a professional data analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

What are the key skills and qualifications needed to thrive as a data professional?

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

What are the most common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a professional data do?

A professional data role involves collecting, analyzing, and interpreting data to support decision-making within an organization. They often use tools like SQL, Excel, or data visualization software and require strong analytical skills and attention to detail. Their work helps improve business processes, identify trends, and inform strategic planning.

What are the most commonly searched types of Data jobs in Washington?

The most popular types of Data jobs in Washington are:

What cities in Washington are hiring for Professional Data jobs?

Cities in Washington with the most Professional Data job openings:

Professional Data jobs near you

GCP Data Architect

Interon IT Solutions

Chantilly, VA • On-site

$65.25 - $84/hr

Contractor

Posted 14 days ago

Job description

#W2 Role

Role: GCP Data Architect
Location: Remote
Experience: 12+ years

Job Description

Our client is looking for a GCP Data Architect to define and guide the architecture of enterprise data platforms supporting healthcare, pharmacy, claims, member, provider, and operational data.

The architect will work closely with business leaders, application teams, security, governance, and data engineering teams. This person should be able to translate business needs into practical cloud architecture and guide teams through implementation.

Responsibilities

  • Define the target-state architecture for enterprise data solutions on GCP.

  • Design scalable batch, streaming, analytics, and data-sharing architectures.

  • Establish architecture patterns for BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer, and Dataplex.

  • Design cloud data warehouses, data lakes, lakehouse platforms, and domain-based data products.

  • Create architecture diagrams, data-flow designs, integration patterns, and technical standards.

  • Lead the migration of legacy data platforms and workloads to GCP.

  • Define data modeling, ingestion, transformation, quality, lineage, metadata, and retention standards.

  • Design solutions for healthcare, pharmacy, claims, member, provider, and operational data.

  • Establish security architecture for PHI, PII, IAM, service accounts, encryption, masking, and audit controls.

  • Review solution designs and provide technical direction to data engineering teams.

  • Conduct design reviews and help resolve complex scalability, performance, and integration issues.

  • Define cloud cost-management and BigQuery optimization strategies.

  • Partner with security, governance, analytics, product, and engineering teams.

  • Support architecture governance, technical roadmaps, and platform modernization initiatives.

Required Qualifications

  • 12+ years of experience in data engineering, data architecture, or enterprise data platforms.

  • 5+ years of experience designing solutions on GCP.

  • Strong architecture experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer, and Dataplex.

  • Strong knowledge of data warehousing, data lakes, lakehouse architecture, distributed systems, and event-driven design.

  • Experience designing batch and real-time data platforms.

  • Strong understanding of dimensional, relational, and domain-based data modeling.

  • Experience with data governance, metadata, lineage, quality, security, and privacy.

  • Experience with Terraform, CI/CD, APIs, containers, and cloud-native architecture.

  • Ability to communicate architecture decisions to technical teams and business stakeholders.

  • Experience leading design reviews and guiding multiple engineering teams.

Preferred Qualifications

  • Healthcare, pharmacy, PBM, claims, or health insurance experience.

  • Strong understanding of HIPAA, PHI, PII, and healthcare data governance.

  • Experience with dbt, Looker, Data Catalog, Apigee, Cloud Run, or Vertex AI.

  • Experience modernizing Oracle, Teradata, Hadoop, SQL Server, or other legacy platforms.

  • Google Professional Cloud Architect or Professional Data Engineer certification.