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Metadata Analyst Jobs in Connecticut (NOW HIRING)

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Qualifications (Preferred) Experience leading data governance / metadata / lineage / stewardship ...

... or analytics role 3+ years managing data products in a modern datalakehouseor data warehouse environment Strongunderstanding of data modeling, data lineage, and metadata management Experiencewith ...

Data Product Engineer

Westport, CT · On-site +1

$140K - $160K/yr

... analytics role ▸ 3+ years managing data products in a modern data lakehouse or data warehouse environment ▸ Strong understanding of data modeling, data lineage, and metadata management ▸ ...

Strong knowledge of data governance frameworks, data quality, metadata management, and data lineage. Experience working with enterprise data platforms, analytics ecosystems, and modern data ...

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

... support analytics • Drive cloud adoption and modernization initiatives • Establish data ... and metadata experience • Hands‐on experience with Spark, Databricks, and Python/SQL • ...

Showing results 21-40

Metadata Analyst information

See Connecticut salary details

$29.5K

$69.7K

$123.7K

How much do metadata analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for metadata analyst in Connecticut is $69,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $82,800.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive as a metadata analyst, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What are popular job titles related to Metadata Analyst jobs in Connecticut?

For Metadata Analyst jobs in Connecticut, the most frequently searched job titles are:

Infographic showing various Metadata Analyst job openings in Connecticut as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $69,692 per year, or $33.5 per hour.

REQ :: Data Engineer (Hybrid - Ridgefield, CT)

SmartIPlace

Ridgefield, CT • On-site

$140K - $145K/yr

Contractor

Re-posted 4 days ago


Job description

Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data platforms and pipelines in a modern cloud environment. You will play a key role in shaping our data architecture, optimizing data flow, and ensuring data quality and availability across the organization.

This role offers the opportunity to contribute directly to meaningful work that supports the development and delivery of life-changing products. You will collaborate with global teams and be part of a culture that values impact, growth, balance, and well-being.

What You’ll Do

  • Design, build, and optimize data pipelines and ETL/ELT workflows to support analytics and reporting.
  • Partner with architects and engineering teams to define and evolve our cloud-based data architecture, including data lakes, data warehouses, and streaming data platforms.
  • Work closely with data scientists, analysts, and business partners to understand requirements and deliver reliable, reusable data solutions.
  • Develop and maintain scalable data storage solutions (e.g., AWS S3, Redshift, Snowflake) with a focus on performance, reliability, and security.
  • Implement data quality checks, validation processes, and metadata documentation.
  • Monitor, troubleshoot, and improve pipeline performance and workflow efficiency.
  • Stay current on industry trends and recommend new technologies and approaches.

 

Qualifications

Data Engineer (Mid-Level)

  • Strong understanding of data integration, data modeling, and SDLC.
  • Experience working on project teams and delivering within Agile environments.
  • Hands-on experience with AWS data services (e.g., Glue, Lambda, Athena, Step Functions, Lake Formation).
  • Associate degree + 8 years experience, or Bachelor's + 4 years, or Master’s + 2 years. Or Associate degree + 4 years experience, or Bachelor's + 2 years, or Master's + 1 year experience.
  • Expert-level proficiency in at least one major cloud platform (AWS preferred).
  • Advanced SQL and strong understanding of data warehousing and data modeling (Kimball/star schema).
  • Experience with big data processing (e.g., Spark, Hadoop, Flink) is a plus.
  • Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
  • Familiarity with CI/CD pipelines and DevOps principles.
  • Proficiency in Python and SQL (required).

 

Desired Skills

  • Experience with ETL/ELT tools (e.g., Airflow, dbt, AWS Glue, ADF).
  • Understanding of data governance and metadata management.
  • Experience with Snowflake.
  • AWS certification is a plus.
  • Strong problem-solving skills and ability to troubleshoot pipeline performance issues.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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