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Associate Data Engineer Jobs in Cary, NC (NOW HIRING)

Install, configure, and fix switching (moving data between devices), routing (finding the best path ... Associate Network Engineer: * 4+ years experience working with IP-based networks * Network+ or ...

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Showing results 41-60

Associate Data Engineer information

See Cary, NC salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for associate data engineer in Cary, NC is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Cary, NC? The most popular types of Data Engineer jobs in Cary, NC are:
What are popular job titles related to Associate Data Engineer jobs in Cary, NC? For Associate Data Engineer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Cary, NC look for? The top searched job categories for Associate Data Engineer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Associate Data Engineer jobs? Cities near Cary, NC with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Cary, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $36,106 per year, or $17.4 per hour.

Principal Database Engineer (Platform Engineer)

Francisco Partners

Raleigh, NC โ€ข On-site

$120 - $170/hr

Other

PTO

Posted 3 days ago

New


Job description

Owns architecture, implementation, reliability, and lifecycle management of Veradigmโ€™s database platform across multiple engines and cloud providers. Designs new database systems end-to-end โ€” from inception through production โ€” including engine and deployment-model selection, server and storage architecture, multi-cloud infrastructure, and high-availability and disaster-recovery posture. Owns 24ร—7 production reliability and serves as the final escalation point for major outages, complex performance incidents, and cross-team database 911s. Acts as senior technical authority and subject matter expert across multiple database technologies (SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, Snowflake) and across AWS and Azure. Sets technical direction for major platform initiatives, including AI-augmented database operations.

  • Determines database architecture for new business use cases โ€” including engine selection, deployment model (IaaS vs. PaaS), topology, sizing, integration patterns, and availability targets up to 99.99% (4 nines) โ€” across SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake.
  • Designs and implements multi-cloud database infrastructure across AWS and Azure, including server, storage, and network architecture tuned for top engine performance. Authors and reviews database infrastructure-as-code (Terraform) for provisioning, configuration management, and lifecycle automation.
  • Oversees the security, integrity, and performance of databases across the production estate โ€” including access controls, encryption at rest and in transit, audit logging, HIPAA-aligned PHI protection, vulnerability management, and database integrity validation.
  • Implements monitoring, observability, and alerting across all database systems and cloud platforms, delegates alert response to team members, and audits incident resolution. Leads complex performance triage and 911 response across product engineering teams.
  • Provides technical leadership for peers and delegates tasks for both major and minor projects.
  • Independently implements and documents enhancement requests.
  • Independently reviews and approves technical design specifications.
  • Designs, audits, and tests high-availability and disaster-recovery architectures engineered to meet 99.99% (4 nines) availability SLAs โ€” including cross-region failover, replication topology, RPO/RTO planning, immutable and air-gapped backup architectures for ransomware protection, point-in-time recovery, and validated restore drills.
  • Serves as final escalation point for database issues escalated by Database Engineers and by partner engineering teams โ€” including production 911 incidents, complex performance investigations, and cross-team database-rooted problems across the full Veradigm engineering organization.
  • Independently owns multiple, concurrent minor or major database platform projects from concept to completion โ€” including requirements gathering, architectural design, implementation, task delegation, schedule creation, deployment, testing, and handoff of the technology solution to the business.
  • Independently owns and is subject matter expert in multiple database technologies and cloud platforms โ€” including SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake โ€” and across managed (PaaS) and self-managed (IaaS) deployment models on both AWS and Azure. Sets technical direction for AI-augmented database operations, including LLM-assisted design, ML-driven anomaly detection, automated performance tuning, and natural-language operational tooling.
Job Requirements Education Level

Bachelor's Degree or equivalent Technical or Business experience. Masters Degree - Preferred.

Work Experience

10+ years relevant work experience; 2-3 years at the Expert level or equivalent experience - Preferred.

Preferred Certifications
  • ITIL Foundations
  • MTA Database Fundamentals
  • MCSA Database Administrator
  • Azure Fundamentals Azure Data Fundamentals
  • Microsoft Certified Azure Data Engineer Associate
Knowledge, Skills and Abilities
  • Ability to work collaboratively with a team and receive constructive feedback from senior engineers.
  • Ability to provide excellent partnership and consultation to product and engineering teams who may not have deep database expertise.
  • Expert knowledge of multiple database engines spanning relational (SQL Server, PostgreSQL, MySQL), document and key-value stores (MongoDB, DynamoDB), and cloud data warehousing (Snowflake), including engine internals, configuration, and operational characteristics under production load.
  • Expert knowledge of database performance monitoring, tuning, and triage at the engine, server, and storage layers across multiple platforms.
  • Expert knowledge of database scripting and automation languages (Tโ€‘SQL, PowerShell, Python, Bash) and of infrastructure-as-code (Terraform) for database provisioning and lifecycle management.
  • Expert knowledge of multi-cloud database engineering across AWS and Azure, including managed database services (RDS, Aurora, Azure SQL, Cosmos DB, DynamoDB, Snowflake) and selfโ€‘managed engine deployments on cloud compute. Expert knowledge of database server and storage architecture tuned for engine performance โ€” instance class and CPU/memory profile selection, NUMA awareness, OSโ€‘level tuning, IOPS planning, volume type selection, and network architecture. Expert knowledge of designing database systems to high-availability SLAs of 99.99% (4 nines) and above, including cross-region failover automation, replication topology, RPO/RTO planning, ransomwareโ€‘resilient backup architectures, and recovery validation.
  • Expert knowledge of change management principles and the ability act as a proactive change agent.
  • Expert knowledge of project management.
Working Arrangements
  • Standard work week or as defined by assignment requirements.
  • Primarily works in standard office environment or remotely.
  • May require after-hours, on-call support and/or holidays.
  • On-call and after hours work during peak times including end of month/quarter/year; during this time PTO is limited to meet business needs.
Travel
  • Up to 10% travel may be required.
Compensation

Compensation for this job is subject to market conditions, geographic considerations, the candidateโ€™s unique skills and experience, state and local laws, and budget. Our commitment to pay transparency is a testament to our dedication to creating a fair, equitable, and inclusive workplace. By continuously analyzing market trends, staying abreast of changes in state laws, and making budgetary adjustments accordingly, we strive to ensure that our compensation practices reflect the value we place on our associatesโ€™ unique contributions and support their professional growth.

Visa Sponsorship is not offered for this position.

Equal Employment Opportunity

Veradigmโ€™s policy is to provide equal employment opportunity and affirmative action in all of its employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for North American based positions with Veradigm must be legally authorized to work in the United States or Canada. Verification of employment eligibility will be required as a condition of hire. Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce.

Priority Referral

From a "VEVRAA Federal Contractor" We request Priority Referral of Protected Veterans.

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