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Added 1 min ago
Director, HR Technology and Workforce Analytic
Columbus McKinnon Corporation
Charlotte, NC
The Director, HR Technology & Workforce Analytics will define, build, and execute Columbus McKinnon's global HR technology, workforce data, and people analytics strategy. Reporting directly…
Added 1 min ago
LH
Senior Director, Enterprise Operations
Lyra Health
Remote, United States
- $235,000 to $265,000 USD / year
AI & Tech Capabilities: Proven track record deploying enterprise AI solutions, automation workflows, and/or advanced analytics to drive operating leverage
Added 1 min ago
LH
Channel Partnerships Manager
Lyra Health
Remote, United States
- $117,520 to $161,590 USD / year
4. Proactive Growth, Initiative & Channel Analytics
Added 1 min ago
Account Executive
FHIUS Fleishman Hillard Inc
Washington, DC
Strong communication and collaboration skills, with the ability to work across integrated account, creative, analytics, and media teams.
Added 1 min ago
Manager, Audience Analytics
IME Mediabrands Worldwide, Inc.
NY
The Audience Analytics Team sits within the Analytics discipline to ensure the expert use of audience data across all Media disciplines. We manage the translation of Audience Strategy into…
Added 1 min ago
Director, Analytics
WSA IPG DXTRA, Inc.
NY · Chicago, IL
We are recruiting an experienced Director of Analytics passionate about using analytics to inform and empower strategic learning and effective communications campaigns for clients. The…
Added 1 min ago
GT
Solutions Architect
Gainwell Technologies LLC
Any city, TX
- $103,300 to $147,600 USD / year
Analytics: Enterprise Data Warehouse, Program Insights and Dashboards (NASPO, HEDIS), Benchmarking
Added 1 min ago
Lead, Marketing, Brand and Creative Partnerships
Government Employees Insurance Company
New York City, NY · Bethesda, MD
Interpret and circulate creative performance metrics, and partner with Analytics to interpret performance and apply findings to current and future work.
Added 2 mins ago
SL
Manager, Sales Development
Sumo Logic
Austin, TX
- $92,000 to $108,000 USD / year
Deep understanding of interpreting data analytics and metrics to drive better decision-making
Added 2 mins ago
Supply Chain Supervisor
Gordon Food Service, Inc.
MI
Ensures relevant data and analytics are provided to regional merchandising managers to assist in category management decisions and to maximize overall slot profitability.
Added 2 mins ago
PI
Vaccines Specialist, Health and Science Professional - Orlando Central, FL
Pfizer Inc
Remote, United States
- $76,000 to $199,600 USD / year
Understands and leverages internal reports and analytics to assist with identifying, developing, and implementing strategic business opportunities
Added 2 mins ago
PI
Cardiovascular Specialist, Health and Science Professional - Williamsburg, NY
Pfizer Inc
Remote, United States
- $76,000 to $199,600 USD / year
Understands and leverages internal reports and analytics to assist with identifying, developing, and implementing strategic business opportunities
Added 3 mins ago
Consultant-Merchandising Operations Data Governance
Lowe's Companies, Inc.
Mooresville, NC
Analytics- Handle interpretation, higher level analysis, storytelling of data. Consumer - utilizing segmentation. Utilize internal and external facing applications, Microsoft data analytics…
Added 3 mins ago
Environmental Health & Safety Director
Crescent Electric Supply Company
United States
Added 4 mins ago
Quantitative Finance Manager - Stress Testing Design
Bank of America, National Association
United States
Added 4 mins ago
26026084 Enablement Program (Content Mgmt Systems) Marketing Manager
Bank of America, National Association
United States
Experience with Adobe Experience Manager, Adobe Analytics, or Adobe Customer Journey Analytic
Added 4 mins ago
Risk Analysis Specialist II
Bank of America, National Association
United States
3+ years of experience in Risk Analytics, Risk Reporting, Decision Science, Credit Risk, Operational Risk, or a related analytical function.
Added 4 mins ago
Warehouse Operations Manager
Spreetail
Nanticoke, PA
…Management Systems (WMS), labor tracking systems, and data analytics tools (Excel, Tableau, or Power BI) to diagnose root causes and make real-time data-driven…
Added 4 mins ago
Sr. HR Business Partner, NACF
Amazon.com Services LLC
Bakersfield, CA
- Lead your team in effective use of analytics and AI tools to uncover hidden patterns, predict emerging risks, and drive data-informed decision making. Translate complex insights into…
Added 4 mins ago
Principal Product Marketing Manager, Ads Marketing
Amazon.com Services LLC
Sunnyvale, CA · New York, NY · Seattle, WA
- Experience working cross-functionally across marketing, product management, analytics, UX, and research
Added 4 mins ago
Senior Actuarial Pricing Analyst
Allianz Insurance
Richmond, VA
Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics, and cloud‑based tools, using insights responsibly and in alignment with our…
Added 5 mins ago
Director, Capital Markets - Capital Allocation & Management
Bank of Montreal (U.S.)
NY
…contributes materially to enterprise-level planning, portfolio analytics, and capital…
Added 5 mins ago
Senior Program Manager – IT & Application Service Desk
Integral
Tysons Corner, VA
Technology, Analytics & Salesforce Optimization
Added 5 mins ago
Account Specialist
Cintas
Morrisville, NC
…effective way. The support provided by the team includes data analytics, prospecting / existing business support, researching customer concerns and providing recommended resolutions, and…
Added 7 mins ago
Senior Program Administrator - AI
Cleveland Clinic
Remote, United States

Closed listing

Engelhart

Software Engineer, Data, AI & UX

Stamford, CT, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

About Us

Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.

In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition.

Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship.

About the Role

As a member of the Data team, you will build the services, infrastructure, and data platforms that power our business. Our team is responsible for ingesting, processing, storing, and distributing large volumes of data reliably and efficiently, enabling teams across the business to make data-driven decisions and build innovative products.

This role sits at the intersection of backend software engineering and data engineering. You will develop scalable backend services, design and maintain data pipelines, and build the underlying data infrastructure that enables reliable, cost-effective, and high-performance data processing.

You'll work closely with other engineering teams, data consumers, and infrastructure specialists to build robust solutions that balance technical excellence with delivering business value. While the role involves technical collaboration across the organization, it is primarily focused on engineering rather than stakeholder management.

We are looking for someone who enjoys solving complex technical problems, takes ownership of their work, and can make pragmatic engineering decisions that maximize impact.

This will be a full-time role, owning the following responsibilities:

Designing, developing, and maintaining scalable backend services and APIs in Python that support data ingestion, processing, and distribution.
Building and maintaining reliable data ingestion pipelines for structured and unstructured data from a wide variety of internal and external sources.
Developing reusable frameworks and tooling that simplify onboarding new data sources and improve developer productivity.
Designing and optimizing scalable data platforms, including databases, data lakes, metadata catalogues, and storage solutions.
Continuously improving the reliability, scalability, observability, and cost-efficiency of our data infrastructure.
Integrating data across multiple systems while reducing duplication and ensuring high data quality.
Developing and maintaining orchestration workflows and automated data processing pipelines.
Building internal libraries and services that enable other engineering teams to access and consume data efficiently.
Monitoring, troubleshooting, and optimizing production systems and data pipelines.
Contributing to architecture discussions and technical decisions across the data platform.
Collaborating closely with software engineers, data engineers, infrastructure engineers, and data consumers to deliver high-impact solutions.
Continuously identifying opportunities to simplify systems, improve automation, and reduce operational overhead.

About You

This person will be an experienced and pragmatic full-stack engineer, who enjoys building scalable systems that solve real business problems. They will be comfortable operating in a commercial environment, collaborating with international teams, and have a proven track record of taking initiative and accountability.

As a result, the following background, experiences and skills are essential for application:

Strong software engineering fundamentals with professional experience building production backend systems and services with Python.
Front-end development experience, including building maintainable, user-facing applications and interfaces using Node.js, React, and React-Redux.
Experience designing and maintaining RESTful APIs and backend services.
Experience building and maintaining data pipelines, including infrastructure automation.
Strong SQL skills and experience working with both relational & analytical databases.
Experience working with AWS services such as ECS, SQS, RDS, Athena, S3, Lambda, CloudWatch, or related technologies.
Experience working with containerized applications and modern software delivery practices.
Familiarity with messaging and asynchronous processing patterns.

In addition, the following is not required, but highly desirable for this role:

Full lifecycle, server-side and client-side, experience with Websocket.
Experience leveraging AI tools and agentic AI solutions to accelerate software development and business workflows, including LLMs, MCPs, tools, skills, knowledge bases, vector databases, AWS Bedrock, LangChain, and PostgreSQL.
Experience with workflow orchestration tools such as Airflow.
Experience with streaming platforms such as Kafka.
Experience with Infrastructure as Code and cloud-native architectures.
Familiarity with distributed systems and high-throughput data processing.
Experience with observability, monitoring, and performance tuning.

What we offer

Competitive compensation and participation in Engelhart’s discretionary bonus plan.
20 days of annual holiday entitlement, excluding US public holidays (NYSE).
Robust benefits package such as Medical, Dental, Vision, Life insurance, 401(k) match, and supplemental benefits partially subsidized by the Company.
Eligibility to receive external and internal training in accordance with our Training & Development Policy.

We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

About employer

More about this job

Skills

Data engineering
Process data
Collaboration
Stakeholder management
Python
Unstructured data
Onboarding
Troubleshooting
Front-end development
Node.js
React
React Redux
API development
SQL
AWS
Workflow
Apache Airflow
Apache Kafka
Infrastructure as code

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