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Transform Labs Jobs in Connecticut (NOW HIRING)

Amgen

Strategic Sourcing Manager

Bridgeport, CT

$131K - $169K/yr

Join us and transform the lives of patients while transforming your career. Strategic Sourcing ... Labs) and Contract Legal Management * Project Management Experience - able to lead teams that cut ...

Radiology Partners

Ultrasound Tech I

Farmington, CT · On-site

$33 - $49/hr

At Jefferson Radiology , we believe transforming radiology starts with investing in the people who ... Coordinate patient care by reviewing referrals, ordering labs, communicating results, and ...

Varsity Tutors

High School Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Adapts instruction using virtual and hands-on labs, visual models, and cross-disciplinary ... About Varsity Tutors And 1-on-1 Online Tutoring Our mission is to transform the way people learn by ...

One Medical

CT

$80/hr

We're on a mission to transform healthcare, which means improving the experience for everyone ... Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive ...

Varsity Tutors

High School Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Adapts instruction using virtual and hands-on labs, visual models, and cross-disciplinary ... About Varsity Tutors And 1-on-1 Online Tutoring Our mission is to transform the way people learn by ...

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Transform Labs information

What is the difference between Transform Labs vs Data Analyst?

AspectTransform LabsData Analyst
Required CredentialsTypically requires a background in data science, programming, or related fields; certifications like SQL, Python, or data analysis courses are common.Often requires a degree in statistics, mathematics, or related fields; certifications like Excel, SQL, or Tableau are beneficial.
Work EnvironmentPrimarily collaborative, project-based work in tech or startup settings, often remote or hybrid.Office or remote settings, working with data sets, reports, and dashboards.
Employer & Industry UsageUsed in tech startups, data-driven companies, and research labs.Common across finance, healthcare, marketing, and corporate sectors.

Transform Labs focuses on developing innovative data solutions and products, often in tech environments, while Data Analysts interpret data to inform business decisions across various industries. Both roles require strong analytical skills but differ in scope and technical focus.

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For Transform Labs jobs in Connecticut, the most frequently searched job titles are:

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Transform Labs jobs near you
Infographic showing various Transform Labs job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 56% Full Time, 40% Part Time, 1% Temporary, and 2% Contract. Highlights an 57% Physical, 3% Hybrid, and 40% Remote job distribution.

Tech Lead, Data & Inference Engineer

Catalyst Labs

Greenwich, CT • On-site

$128K - $154K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers and promoting best practices across the organization.
Responsibilities:
• Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
• Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
• Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte.
• Conduct root cause analysis and provide long lasting solutions.
• Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation.
• Manage version control, caching and evaluation loops.
• Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
• Guide architectural decisions across the data lake and the entire pipeline stack.
• Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
• Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
• Mentor engineers, review code and raise the overall technical standard across teams.
• Promote data driven best practices throughout the organization.
Qualifications:
Required:
• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
• Excellent written and verbal communication; proactive and collaborative mindset.
• Comfortable in hybrid or distributed environments with strong ownership and accountability.
• A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
• Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
• 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
• Expert SQL (query optimization on large datasets) and Python skills.
• Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
• Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Preferred:
• Strong Node.js skills for faster onboarding and system integration.
• Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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