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5 jobs found

2mo ago

Senior Clinical Data & Analytics Engineer

Yale University New Haven, CT

New Haven, CT

2mo ago Closed

$92k - $147k/yr Full time Senior Analytics Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Yale University in New Haven seeks a Senior Clinical Data & Analytics Engineer to drive SQL-based analytics, reporting, and business intelligence for Yale Medicine Clinical Practice, Finance, Revenue Cycle, and operations. The role emphasizes deep SQL expertise, proficiency with BI tools, and experience handling healthcare and financial data to deliver timely, actionable insights.

Location

New Haven, CT (hybrid)

Salary

USD 92,000 - 146,750 per year

Experience

Minimum 6 years

Education

Bachelor's degree

Responsibilities

Provides technical leadership in complex domains and guides major initiatives, developing large-scale programs and systems.
Leads the design and delivery of applications, programs, and systems; assesses departmental processes and needs; ensures stakeholder end-user requirements, timelines, and budgets are met.
Defines quality assurance and unit testing strategies to ensure high-quality solutions; leads collaborative planning, development, and implementation of business solutions; performs complex problem solving.
Offers technical guidance to leadership; leads recommendations, project definitions, and the development of technical designs and documentation, including architectural design, technology choices, and methodologies; creates and manages project plans.
Oversees ongoing maintenance and support for applications and systems; interfaces with vendors to resolve major software issues; makes final decisions on hardware and software purchases.
Drives the development of system documentation; develops formal design proposals and cost and time estimates for new systems.
Mentors technical staff and provides training for end users.
Recommends and establishes new policies and best practices.
Keeps current with existing and emerging technologies and methodologies; contributes to programming standards, procedures, and methodologies.
May perform additional duties as assigned.

Requirements

Strong SQL programming skills with a track record of writing complex queries; proficient in SQL Server, including database objects and stored procedures.
Experience with business intelligence tools, ideally Microsoft Power BI and Tableau.
SAP Business Objects experience is a plus.
Ability to independently build reports, identify data sources, design queries, and perform QA/testing.
Able to analyze complex datasets, translate business requirements into technical solutions, and deliver accurate, actionable insights.
Proficiency with Microsoft Excel and Microsoft Access, including developing and maintaining data-driven processes and workflows.

Technologies

SQL
SQL Server
Microsoft Power BI
Tableau
SAP Business Objects
Microsoft Excel
Microsoft Access
Epic Data Structures (Clarity)
Epic reporting tools

Posting date

04/22/2026

Job Type

Full time

Work Model

Hybrid

Education & Experience

Bachelor's degree required; minimum 6 years of relevant experience

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2mo ago

Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services Sunnyvale, CA

Sunnyvale, CA

2mo ago Closed

$70k - $125k/yr Full time Analytics APIs Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Tata Consultancy Services is seeking a Data Analytics Engineer with an AI/ML focus to join onsite in Sunnyvale, CA. The role centers on building scalable data pipelines, preparing AI-ready data, deploying ML models with MLOps, developing analytics dashboards, and enforcing data governance within cloud environments.

Responsibilities

Data Pipeline & Infrastructure Development: Build, maintain, and scale ETL or ELT pipelines using Apache Spark, Airflow, and Kafka to support AI and ML workloads.
AI Ready Data Preparation: Convert unstructured data such as text, images, and video into structured datasets suitable for model training, including feature engineering and vector database ingestion.
ML Model Productionization: Collaborate with data scientists to deploy models, create APIs for models, and implement MLOps practices with monitoring for data drift.
Analytics and Visualization: Develop dashboards using Tableau, Power BI, or Looker and execute SQL queries to deliver actionable business insights as an analytics engineer.
Data Governance & Quality: Ensure data quality, reliability, and security for AI systems, with adherence to regulations like GDPR or HIPAA and management of PII/PHI.
Cloud and Data Management: Operate within cloud environments such as AWS, Azure, and Google Cloud, leveraging services like S3, Redshift, Glue, and Databricks.

Requirements

Programming Languages: Expert Python and advanced SQL are mandatory; Java or Scala are preferred for large scale distributed systems.
ML Frameworks: Familiarity with PyTorch, TensorFlow, or Scikit-Learn for data manipulation and model interaction.
Data Engineering Tools: Experience with Apache Spark, Kafka, Airflow, dbt, and vector databases such as Pinecone or Milvus.
Cloud Platforms: Hands-on experience with AWS (Glue, SageMaker) or Google Cloud Platform.
Analytical Skills: Strong ability to perform exploratory data analysis and interpret complex datasets.
Soft Skills: Effective communication to bridge technical data engineering with business stakeholders.

Technologies

Apache Spark
Airflow
Kafka
Tableau
Power BI
Looker
Python
SQL
Java
Scala
PyTorch
TensorFlow
Scikit-learn
dbt
Pinecone
Milvus
AWS
SageMaker
S3
Redshift
Glue
Databricks
Google Cloud

Location

Sunnyvale, CA

Job Function

Technology

Role

Engineer

Job ID

406121

Desired Skills

Artificial Intelligence
Data Analytics
Kafka
Machine Learning
Python
SQL
Apache Spark

Salary Range

$70,000 to $125,000 per year

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2mo ago

Lead Data and Analytics Engineer

CGI Group, Inc. Nashville, TN

Nashville, TN

2mo ago Closed

$90k - $198k/yr Full time Analytics Architect AWS

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

CGI Group, Inc. invites you to a hybrid, Nashville based opportunity that centers on shaping cloud data capabilities and enabling smarter decisions across the business. The role offers a competitive compensation range of USD 89,600 to 198,400 per year and requires a Bachelor's degree. This position emphasizes collaboration, mentorship, and delivering enterprise‑level analytics with governance and trust at the core, all within a supportive, client‑facing environment.

Responsibilities

Drive the design and rollout of cloud based data and analytics solutions, including data pipelines, data models, and reporting structures.
Steer the enterprise reporting and data strategy, providing oversight of analytics across the organization, executive dashboards, and operational insights aligned to business goals.
Advance analytics enablement by supervising dashboard development, semantic modeling, and self service capabilities with Power BI and Tableau, ensuring intuitive, high performance reports built on trusted data.
Support scalable cloud data architectures using modern data warehouses and tools in the cloud ecosystem (Snowflake, AWS, Azure), guiding data modeling and pipeline standards for enterprise reporting and analytics.
Collaborate with business and technical stakeholders to translate requirements into sound technical solutions.
Promote best practices in data engineering, including code quality, version control, testing, and documentation.
Mentor junior team members and help steer the technical direction of data engineering initiatives.
Assist with estimating effort, planning work, and ensuring timely delivery of project components.

Requirements

Ability to recognize business needs, analyze requests, and recommend solid technical solutions.
Lead a team of 3 to 10+ technical consultants.
Manage expectations with both technical and business stakeholders.
Mentor and grow the next generation of leaders on the team.
Manage scope, timelines, and deliverables to meet firm project timelines.
Excellent verbal and written communication, with the ability to build trusted relationships across clients, teammates, managers, and domain experts.
Strong analytical and problem solving abilities with meticulous attention to detail.
Experience delivering end to end reporting and analytics solutions, including requirements gathering, KPI definition, BI data modeling, dashboard development, and data integration to support enterprise reporting needs.
Hands on experience with cloud based data and analytics platforms (AWS, Azure, Snowflake), enabling scalable pipelines and governed datasets that support Power BI, Tableau, or similar BI tools.
Bachelor's degree in Computer Science, Engineering, Management, Computer Information Systems (MIS or CIS) or related field is required.

Technologies and Tools

Snowflake
AWS
Azure
Power BI
Tableau
Oracle
PowerBuilder
Python
PySpark

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well-being programs

Position Description

CGI is seeking a dedicated Lead Data and Analytics Engineer to join the Nashville team. In this full time consultant role, you will address business and technical challenges for local and enterprise clients, collaborating with a team of skilled professionals and delivering impact across internal and client partners.

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2mo ago

Senior Data Engineer / Data Architect Enterprise Data and Analytics - Vice President

Citi Rutherford, NJ

Rutherford, NJ

2mo ago Closed

$142k - $213k/yr Full time Senior Analytics Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Citi is seeking a Senior Data Engineer / Data Architect (Vice President) to design, build, and optimize enterprise scale data platforms and analytics solutions. The role leads data pipelines, BI dashboards, and governance initiatives across the organization. The position is based in Rutherford, New Jersey with a hybrid work arrangement, and offers a salary range of USD 142,320 to 213,480 per year.

Responsibilities

Design scalable data architectures including data lakes and data warehouses organized in a Medallion Bronze, Silver, Gold pattern
Develop and manage robust ETL and ELT pipelines using SSIS, Apache Airflow, and Dataform
Build and optimize high performance data models and database objects such as stored procedures, views, and tables
Process and manage large-scale datasets (1TB plus and billions of rows) with high reliability and accuracy
Create and maintain BI dashboards and reports using Tableau, Power BI, Looker, and other tools
Collaborate with business stakeholders to translate requirements into actionable insights and analytics solutions
Integrate data from multiple systems including Oracle, SQL Server, DB2, APIs, Big Data, and Hadoop
Optimize SQL queries and data pipelines for performance and scalability
Ensure data quality, governance, and system uptime
Lead cross-functional teams and drive data strategy, roadmaps, and best practices
Mentor team members and promote knowledge sharing across teams

Requirements

Minimum of six years in data engineering, analytics, or BI development
SQL and T-SQL proficiency
Python
ETL tools including SSIS, Apache Airflow, Dataform, and Azure Data Factory
Hands-on experience with Tableau or Power BI
Experience with data warehousing and data modeling
Strong problem solving and analytical skills
Data engineering and pipeline development
Data visualization and storytelling
Cloud data platforms such as Azure and Google Cloud
SQL performance tuning
Data modeling and warehousing
Stakeholder management and leadership
BS or MS in Computer Science or a related technical field

Technologies

Medallion architecture Bronze/Silver/Gold
SSIS, Apache Airflow, Dataform, Azure Data Factory
Tableau, Power BI, Looker
Oracle, SQL Server, DB2
APIs, Hadoop
Python, SQL / T-SQL
Azure, Google Cloud Platform (BigQuery, Databricks, Spark)
Data warehousing and data modeling

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental, and vision coverage
401(k) retirement plan
Life, accidental, and disability insurance
Wellness programs
Paid time off packages for vacation, sick leave, and holidays

Location

Rutherford, New Jersey, United States (hybrid)

Job Type

Hybrid

Salary

USD 142,320 to 213,480 per year

Job Requisition ID

26950916

Posted

Apr 13, 2026

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2mo ago

Senior Data Engineer / Data Architect

Information Technology Senior Management Forum Rutherford, NJ

Rutherford, NJ

2mo ago Closed

$142k - $213k/yr Full time Senior Architect Data

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Information Technology Senior Management Forum is seeking a Senior Data Engineer / Data Architect to lead the design and optimization of enterprise-scale data platforms, build scalable pipelines, and enable data-driven decision making across the organization. This onsite role in Rutherford, New Jersey combines hands-on engineering with strategic data leadership and offers a clear path for mentoring teams and shaping data strategy.

Responsibilities

Design and implement scalable data architectures, including data lakes and data warehouses, leveraging Medallion architecture (Bronze/Silver/Gold).
Develop and manage robust ETL/ELT pipelines using SSIS, Apache Airflow, and Dataform.
Build and optimize high-performance data models and database objects such as stored procedures, views, and tables.
Process and manage large-scale datasets (1TB+ and billions of rows) with emphasis on reliability and accuracy.
Develop and maintain BI dashboards and reports using Tableau, Power BI, Looker, and other reporting tools.
Collaborate with business stakeholders to translate requirements into actionable insights and analytics solutions.
Integrate data from multiple systems including Oracle, SQL Server, DB2, APIs, Big Data, and Hadoop ecosystems.
Optimize SQL queries and data pipelines for performance and scalability.
Ensure data quality, governance, and system uptime.
Lead cross-functional teams and drive the data strategy, roadmap, and best practices.
Mentor team members and support knowledge sharing across teams.

Requirements

6+ years of experience in data engineering, analytics, or BI development.
Proficiency in SQL and T-SQL; Python experience preferred.
Experience with ETL tools such as SSIS, Apache Airflow, Dataform, and Azure Data Factory.
Hands-on experience with Tableau or Power BI.
Background in data warehousing and data modeling.
Strong problem-solving and analytical capabilities.
Expertise in Data Engineering and Pipeline Development.
Experience in Data Visualization and storytelling.
Knowledge of Cloud Data Platforms (Azure, GCP).
SQL performance tuning and data modeling/warehousing.
Stakeholder management and leadership experience.

Technologies

Medallion architecture (Bronze/Silver/Gold)
SSIS, Apache Airflow, Dataform, Azure Data Factory
Oracle, SQL Server, DB2
APIs, Big Data, Hadoop
Tableau, Power BI, Looker
Python, SQL, T-SQL
Azure, GCP; BigQuery, Databricks, Spark

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental, and vision coverage
401(k) retirement plan
Life, accident, and disability insurance
Wellness programs
Paid time off including vacation, sick leave, and holidays

Salary

$142,320.00 - $213,480.00 Annual

Location

Rutherford, New Jersey, United States (onsite)

Employment Type

Full-time

Job Family

Technology — Applications Development

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Architect Data Jobs

Senior Clinical Data & Analytics Engineer

Data Analytics Engineer (AI/ML Focus)

Lead Data and Analytics Engineer

Senior Data Engineer / Data Architect Enterprise Data and Analytics - Vice President

Senior Data Engineer / Data Architect

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