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Cdc Data Jobs in Virginia (NOW HIRING)

You'll engineer batch/CDC/streaming pipelines, model curated/semantic layers, and harden run-state with testing, CI/CD, security, and observability. You'll partner closely with the data team and ...

You'll engineer batch/CDC/streaming pipelines, model curated/semantic layers, and harden run-state with testing, CI/CD, security, and observability. You'll partner closely with the data team and ...

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

You'll engineer batch/CDC/streaming pipelines, model curated/semantic layers, and harden run-state with testing, CI/CD, security, and observability. You'll partner closely with the data team and ...

Big Data Engineer

Chester, VA · On-site

$51.25 - $68/hr

They are seeking a Big Data Engineer to build and operate their enterprise Unified Data Layer ... Responsibilities : • Build ingestion pipelines (batch, CDC, streaming) from S/4HANA/DataSphere ...

Data Lakehouse Architect

Manassas, VA

$63.75 - $82/hr

Architect data ingestion frameworks for both real-time and batch workloads, including event-driven and CDC-based integration patterns. * Establish scalable, resilient, and secure storage patterns ...

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

Preferred : • Proficiency with Oracle GoldenGate or equivalent CDC (Change Data Capture) tools for real-time replication. • Experience with modern data architectures (e.g., Data Vault 2.0). • ...

Architect robust ingestion, transformation, and serving layers using a blend of batch, streaming, CDC, API-based, and event-driven patterns. * Lead end-to-end data modeling strategy, including ...

Architect robust ingestion, transformation, and serving layers using a blend of batch, streaming, CDC, API-based, and event-driven patterns. * Lead end-to-end data modeling strategy, including ...

Architect robust ingestion, transformation, and serving layers using a blend of batch, streaming, CDC, API-based, and event-driven patterns. * Lead end-to-end data modeling strategy, including ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Support the design and development of data pipelines and ETL routines in Azure Cloud environment for many source system types including RDBMS, API, and unstructured data using CDC, incremental, and ...

Data Engineer (Databricks)

Reston, VA · On-site

$119K - $143K/yr

Support the design and development of data pipelines and ETL routines in Azure Cloud environment for many source system types including RDBMS, API, and unstructured data using CDC, incremental, and ...

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Cdc Data information

What are some common challenges faced by professionals working with CDC data, and how can they be addressed?

Professionals working with CDC data often encounter challenges such as managing large and complex datasets, ensuring data privacy, and interpreting evolving public health trends. Addressing these challenges involves staying updated on data management best practices, using secure data handling protocols, and collaborating closely with epidemiologists and analysts to accurately interpret findings. Regular training on CDC data systems and effective communication within multidisciplinary teams can also help overcome these obstacles and ensure high-quality public health insights.

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

To thrive as a CDC Data Analyst, you need strong analytical skills, a background in public health or statistics, and experience with data interpretation, typically supported by a relevant degree. Proficiency in statistical software (such as SAS, R, or SPSS), data visualization tools, and data management systems is essential. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating data findings to diverse stakeholders. These skills ensure accurate public health reporting and support data-driven decision-making to improve health outcomes.

What is the difference between Cdc Data vs Data Analyst?

AspectCdc DataData Analyst
Required CredentialsTypically requires public health, epidemiology, or data management certificationsRequires degrees in statistics, data science, or related fields; certifications like CAP or Microsoft Power BI are common
Work EnvironmentGovernment health agencies, public health departments, research institutionsCorporate, healthcare, finance, or consulting firms
Employer & Industry UsageUsed mainly in public health and government sectors for disease tracking and health data managementUsed across various industries for data interpretation, reporting, and decision-making

While both roles involve data handling, Cdc Data focuses on public health data management within government agencies, whereas Data Analysts work across industries analyzing diverse datasets to support business decisions.

What are CDC data?

CDC data refers to the wide range of public health information collected, analyzed, and published by the Centers for Disease Control and Prevention (CDC). This data includes statistics on disease incidence, surveillance reports, health behaviors, and trends related to public health issues in the United States. Researchers, policymakers, and public health professionals use CDC data to inform decisions, track outbreaks, and improve health outcomes. The data is made available through various CDC platforms, such as CDC WONDER, Data.CDC.gov, and specific disease databases.
What are popular job titles related to Cdc Data jobs in Virginia? For Cdc Data jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Cdc Data jobs in Virginia look for? The top searched job categories for Cdc Data jobs in Virginia are:
What cities in Virginia are hiring for Cdc Data jobs? Cities in Virginia with the most Cdc Data job openings:
Infographic showing various Cdc Data job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Big Data Engineer

$104K - $156K/yr

Other

Posted 24 days ago


AdvanSix rating

7.1

Company rating: 7.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

70th of 100 rated chemical manufacturers


Job description

Job Responsibilities:

AdvanSix is seeking a Big Data Engineer to build and operate our enterprise Unified Data Layer (UDL) - spanning IT and OT - to deliver trustworthy, performant data products that power Finance, Operations, Supply Chain & Logistics, HSE, Commercial, and corporate analytics. You’ll engineer batch/CDC/streaming pipelines, model curated/semantic layers, and harden run-state with testing, CI/CD, security, and observability. You’ll partner closely with the data team and larger IT organization.

Mission

Design and deliver scalable, secure data pipelines and data models that safely connect operational systems to analytics, ensure trusted and wellgoverned data, and enable repeatable delivery of BI, ML, AI, and automation solutions.

Data Engineering & Modeling

· Build ingestion pipelines (batch, CDC, streaming) from S/4HANA/DataSphere, PHD/historian, LIMS, TMS, HSE, and other sources into landing → curated → semantic layers.

· Implement data contracts, schema/versioning, SCD handling, partitioning, and performance tuning (file formats, clustering, caching).

· Develop dimensional/semantic models that back certified Power BI datasets and APIs for apps/agents.

OT/IT Integration & Safety

· Integrate OT data via OPC UA/MQTT, broker/DMZ patterns, read-only historian feeds, and event/batch frames—no control-net reads.

· Collaborate with plant controls on change control, signal quality, and downtime windows.

Quality, Security & Observability

· Embed data quality rules, unit/integration tests, and validation checks (freshness, completeness, drift/PSI).

· Instrument lineage and end-to-end monitoring; build alerting and on-call runbooks to minimize MTTR.

· Enforce RBAC, secrets management, PII/HSE classifications, and retention aligned to Governance/MDM policies.

CI/CD, Cost & Reliability

· Automate build/test/deploy with Git-based CI/CD (environments, approvals, blue/green).

· Track and optimize cost/performance (cluster sizing, autoscaling, cache strategy); contribute to FinOps reviews.

Collaboration & Documentation

· Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping.

· Produce “readme” docs, data dictionaries, runbooks, and post-incident reviews; support knowledge transfer with vendors.

Basic Qualifications:

· Minimum 5 years' in data engineering building production pipelines at scale (batch/CDC/streaming).

· Hands-on with Azure data stack: Databricks or Fabric/Synapse, ADF/Pipelines, ADLS/OneLake, Azure SQL/SQL MI, Key Vault.

· Strong SQL and Python/PySpark; comfort with Spark Structured Streaming and performance tuning.

· Experience implementing tests/observability (freshness, schema, expectations), and Git-based CI/CD.

· Familiarity with SAP S/4HANA structures and SAP DataSphere semantic modeling.

· OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, ISA-95/99 basics.

· Understanding of Power BI consumption (semantic models, RLS) and APIs for downstream AI/ML apps/agents.

Preferred Qualifications:

· Time-series/data-quality tooling (e.g., Great Expectations or equivalent patterns), feature/metric stores.

· MDM concepts (keys, survivorship), lineage/catalog tooling.

· TMS/WMS, LIMS, Historian, HSE domain exposure; Lean/Six Sigma mindset; FinOps awareness.

The base salary range for this position is $104,600 to $156,800 annually.


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