1

Associate Data Engineer Jobs in Wilton, CT (NOW HIRING)

Support day-to-day operations of the Meter Test Center and Meter Engineering teams * Assist Data ... Associate's degree in electrical engineering or electrical engineering technology from an ABET ...

Support day-to-day operations of the Meter Test Center and Meter Engineering teams * Assist Data ... Associate's degree in electrical engineering or electrical engineering technology from an ABET ...

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 ...

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 ...

Healthcare Provider L65 - Associate Vice President, AI and Data Solutions - Data Lead Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a ...

New

... associates great flexibility to work from home, and opportunities to connect with colleagues for ... Utilize Master Data Management tools like Ataccama and in-house tools to ensure filtering ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Engineers contribute to impactful products that drive measurable outcomes, accelerate growth, and ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science ...

Showing results 41-60

Associate Data Engineer information

See Wilton, CT salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for associate data engineer in Wilton, CT is $19.41, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

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 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 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 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.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Wilton, CT?

The most popular types of Data Engineer jobs in Wilton, CT are:

What are popular job titles related to Associate Data Engineer jobs in Wilton, CT?

For Associate Data Engineer jobs in Wilton, CT, the most frequently searched job titles are:

What cities near Wilton, CT are hiring for Associate Data Engineer jobs?

Cities near Wilton, CT with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Wilton, CT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,368 per year, or $19.4 per hour.

Associate Director Clinical Data Standards & Governance

Penfield Search Partners

Fairfield, CT

Full-time

Posted 7 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary The Associate Director, Clinical Data Standards and Governance is a hands-on subject-matter expert and standards owner who leads the design, implementation, and lifecycle governance of clinical data standards across the enterprise data value chain - from protocol concept and collection through acquisition, tabulation, analysis, and regulatory submission. This role is the technical backbone of the Enterprise Clinical Data Standards & Regulatory Submission Readiness program, translating governance council decisions into concrete, adopted standards content and driving the metadata, controlled terminology, and validation infrastructure that makes those standards usable at study level. The incumbent personally develops and maintains the standards library (CDASH/eCRF, SDTM, ADaM, Define-XML/SDRG/ADRG, controlled terminology) and the governance mechanics that keep it current - version control, change/exception workflows, regulatory surveillance, and compliance metrics - while partnering across CDM, Biostatistics, Statistical Programming, Clinical Operations, Regulatory, Quality, and IT/Data Engineering to ensure standards are consistently authored once and reused everywhere

This is an individual-contributor leadership role: the person in this seat is expected to do the standards work directly, chair or drive technical working groups, and set technical direction, not simply oversee others doing it. The role also carries responsibility for compliance with applicable corporate and divisional policies and procedures, and for maintaining an active, credible presence in the external CDISC standards community. Key Responsibilities Standards Content Ownership Own and maintain the enterprise standards library across all five layers of the data architecture: Collection (CDASH, eCRF library, edit checks), Acquisition (labs, ECG, imaging, eCOA, biomarker, digital health, external transfer specifications), Tabulation (SDTM domains, sponsor conventions, mappings, controlled terminology, Define-XML, cSDRG), and Analysis (ADaM, analysis metadata, ADRG, TLF interfaces).

Maintain a complete and in-depth understanding of all CDISC guidance documents and implementation guides, as well as FDA guidance and regulation on electronic submission of data; keep abreast of industry trends in data mapping, data management, standards compliance methodologies, metadata management, and data warehousing. Author and publish sponsor SDTM/ADaM implementation conventions, controlled terminology mappings, and eCRF/CDASH specifications that are reusable across studies and therapeutic areas. Demonstrate extensive understanding of CDASH and SDTM standards and concepts; critically review eCRF designs to ensure compatibility and conformance with CDASH/SDTM standards, proactively recognizing and correcting design flaws.

Demonstrate extensive understanding of SDTM, controlled terminology, and common coding dictionaries; review SDTM conformance mapping specifications and proactively correct flaws, and provide input and CDISC expertise to cross-functional activities such as mapping of source data to SDTM. Lead impact assessments and version releases when CDISC, regulatory, or internal business requirements change, ensuring controlled, documented rollout with defined effective dates and training. Maintain Define-XML, SDRG, and ADRG templates and conventions to support consistent, submission-ready documentation across the portfolio.

Governance, Process & Compliance Ensure personal and team compliance with all applicable corporate and divisional policies and procedures governing clinical data standards and their implementation. Serve as a core technical member (and, where appropriate, chair) of Tier 3 standards working groups (Collection, External Data, SDTM & Submission, ADaM & Analysis, Technology & Automation), preparing proposals for review by the Clinical Data Standards Governance Council. Operate the standards change-control and exception/deviation workflow end to end: intake, functional SME review, council approval, publication, and study-team implementation.

Maintain the standards charter, governance council terms of reference, SOPs, and work instructions that keep standards mandatory rather than optional guidance, and keep RACI/decision rights current across CDM, Biostats, Programming, Clinical Ops, Regulatory, Quality, and IT. Run regulatory surveillance for evolving CDISC, FDA, and ICH data standards requirements and translate changes into prioritized updates to the standards library. Represent Clinical Data Standards during audits and regulatory inspections; ensure inspection-ready documentation and full traceability from source data to submission.

Technology, Metadata & Automation Own and continuously improve the metadata repository, including release management, version control, lineage/traceability controls, and automated validation rules; manage libraries of CDISC-related metadata, terminology, and related standards within the repository, and provide governance oversight to the Manager, Data Standards to ensure consistency of metadata. Demonstrate knowledge of SDTM/ADaM validation rules and the associated Define.xml requirements; execute standard validation tools and appropriately interpret results, collaborating with other functions to resolve identified issues and ensuring any unresolved issues are appropriately documented (e.g., in the FDA's Data Reviewer's Guides). Partner with IT/Data Engineering and Biometrics to standardize system interoperability across EDC, external data platforms, and downstream tabulation/analysis tools

Drive adoption of automated validation and standards-compliance tooling, and identify AI-enabled use cases (e.g., automated mapping, spec generation, QC) that increase reuse and reduce cycle time. Maintain the standards-compliance dashboard and report enterprise-level adoption, quality, speed, and readiness metrics to program leadership and the Governance Council. Adoption, Enablement & Cross-Functional Partnership Develop and deliver role-based training, study implementation playbooks, and office hours / community-of-practice sessions to drive consistent standards adoption across study teams and CROs

Effectively mentor peers, the Manager, Data Standards, Senior Data Standards Analysts, and Data Standards Analysts on data standards concepts and functional operations; train new Data Standards Analysts on the processes and systems used to manage and implement standards. Define and enforce CRO/vendor data standards requirements; review vendor deliverables (transfer specifications, mapping specs) for conformance. Act as the standards subject-matter expert in cross-functional forums, providing guidance to study teams, Biostatistics, Statistical Programming, and CRO partners on standards interpretation and implementation; diplomatically and persuasively represent the interests of the Data Standards group in cross-functional initiatives.

Capture pilot lessons learned and feed continuous-improvement recommendations back into the standards library and governance processes. External Standards Engagement Maintain an external reputation as a clinical data standards expert and represent the organization in the broader CDISC community. Coordinate consolidated review comments from the Data Standards group and Statistical Programming for applicable CDISC standards released for public review.

Submit at least one abstract per year for presentation at a CDISC Interchange. Success Measures Performance in this role is assessed against enterprise standards KPIs spanning adoption (e.g., studies and vendor transfers on standard), quality (deviations, critical findings, repeat defects), speed (CRF build cycle time, mapping/spec reuse, DB lock-to-submission-ready timeline), and readiness (first-pass QC, traceability completeness, inspection-ready documentation, exception turnaround). Qualifications Bachelor's or Master's degree in Life Sciences, Computer Science, Health Informatics, or a related discipline

10+ years of progressive experience in clinical data management or clinical data standards, with demonstrated ownership of enterprise-level standards content (not solely study-level execution). Deep, hands-on expertise in CDISC standards - CDASH, SDTM, ADaM, controlled terminology - and Define-XML/SDRG/ADRG authoring. Working knowledge of clinical data collection and acquisition technologies (EDC/Rave, RTSM, eCOA, external/vendor data transfers) sufficient to define standards and specifications, though this role is standards-focused rather than systems-administration-focused.

Experience building or operating a metadata repository, standards library, or comparable governance infrastructure, including version control and validation frameworks. Demonstrated experience authoring SOPs, work instructions, and governance charters, and operating change-control or exception workflows in a regulated environment. Solid understanding of GCP, ICH, 21 CFR Part 11, and global regulatory expectations as they relate to data standards, traceability, and submission readiness (NDA, BLA, MAA).

Proven ability to lead or contribute to cross-functional governance bodies and technical working groups, influencing without direct authority across CDM, Biostatistics, Programming, Clinical Operations, Regulatory, Quality, and IT. Strong written and verbal communication skills, with experience producing governance documentation, training materials, and dashboards for varied audiences up to senior leadership. Comfort operating as an individual-contributor expert who personally produces standards deliverables, balanced with the leadership presence to drive adoption across.