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Data Processing Manager Jobs in Darien, CT (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Strong attention to detail and process discipline * Ability to manage multiple data requests and investigations at the same time * Willingness to learn and adapt to new tools and workflows Preferred ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes.

... data processing solutions. * Support additional enterprise business applications outside of Workday, including financial and business management systems. * Maintain data privacy, security, and ...

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also ...

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes.

Big Data Engineer

New York, NY

$61 - $80.75/hr

... cture Management through strategic consulting and industry-oriented business process. Primary Skills: 1. Very strong server-side Java experience, especially in an open source, data-intensive ...

This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also ...

Showing results 41-60

Data Processing Manager information

See Darien, CT salary details

$36K

$54.8K

$71.4K

How much do data processing manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data processing manager in Darien, CT is $54,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $65,200.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, problem-solving skills, and knowledge of data security are essential for this role.
What cities near Darien, CT are hiring for Data Processing Manager jobs? Cities near Darien, CT with the most Data Processing Manager job openings:
Infographic showing various Data Processing Manager job openings in Darien, CT as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $54,758 per year, or $26.3 per hour.

Machine Learning Data Engineer

Oden Technologies Ltd

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 10 days ago


Job description

About Oden:
Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real-time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes.
As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large-scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production, across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain - to help True Makers Make Things Better!
Culture
  • We obsess over customers. Everything we do is to create profound results and delight for our customers. Every Viking cares about the purpose of the product and company, and prioritizes work based on customer end results. When in doubt, we go to the Gemba - we're happy to put on steel toe boots and hit the factory floor to work with the production manager.
  • We move fast and follow through - we live by transparent and scientific thinking, act with urgency, and put in the work to find the best ideas with those around us.
  • We elevate each other by giving and receiving direct, honest feedback and holding ourselves and others to a high standard to help the team rise, deliver, and win together.
  • "Be True Makers to Serve True Makers." We're building a community that fuels innovation and accelerates our pace and impact. We always ask if there's a better way to do something, even if it's unconventional - then we try it. We aim for bold yet simple solutions that cut through complexity and drive meaningful progress.

The Role:
As an ML Data Engineer, you will be responsible for researching, developing and implementing data and machine learning pipelines and systems to support applications that enable operations teams to manage and optimize the manufacturing process as effectively as possible. Applications for these systems include continuous predictions of quality, cost and machine failure, delivering live recommendations for process optimization, and identifying anomalies for real-time alerting etc.
As part of developing these systems, you will work with manufacturing data, including real-time sensor readings and measurements; context about this data collected from external systems; outcomes such as quality/cost/yield; and knowledge about the process from structured and unstructured sources. You will be expected to build systems and models that can learn from these high dimensional and heterogeneous timeseries datasets, and that can be adaptive to changing process conditions and explicit and implicit feedback. You will work with the latest techniques from deep learning, AI for timeseries, reinforcement learning, and recommendation systems to enable the applications.
You will work closely with Oden's Product team to build these systems as foundations for our product, and are expected to participate in the end-to-end engineering, carrying projects from conceptualization to development to deployment. You will also work closely with our customer success teams to develop an understanding of the process and deliver and validate results in production environments.
Responsibilities:
  • Developing and maintaining systems that manage the full ML lifecycle - from data preparation and model training to deployment and monitoring.
  • Working with our data scientists to create and deploy ML/AI models, algorithms, representations and methods that capture properties of complex manufacturing processes
  • Enable applications of these models to different problems for prediction, optimization, and monitoring and alerting.
  • Working with the engineering, product and customer success teams to Implement and deploy solutions
  • Validating results in real-world deployments with our customers
  • Generalizing solutions and innovating to create the next generation of product features
  • Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

Preferred Experience:
  • 3-5 years professional experience as an ML Engineer/Data Engineer and advanced degrees (M.S. or PhD. in Machine Learning, Distributed Systems, Computer Science with ML/AI focus, or related fields)
  • Proficient with distributed data processing systems e.g. Apache Beam/Dataflow, Apache Spark
  • Proficient with ML workflows and tools - including open source tools like MLFlow, cloud platforms like Vertex or Sagemaker
  • Proficient with Python, including most common ML and Optimization libraries
  • Experience with SQL and GCP is a plus.
  • Experience with designing, building and deploying performant ML products
  • Familiarity with unstructured data and Generative AI - especially around enterprise applications is a plus.
  • Enthusiasm to own projects end-to-end; from experimentation to customer delivery
  • This person should be based in the New York metro-area and willing to come to an office at least a several times a month

We anticipate the base salary band for this role will be between $120,000 and $190,000, in addition to equity and benefits. This role may be hired at the L3 Engineer level ($120,000 to $170,000) or the Senior ML Engineer level ($140,000 to $190,000). The salary at offer will be determined by factors such as the candidate's experience, knowledge, skills, and abilities, as well as internal equity among our team.
At this time, we cannot offer visa sponsorship. Candidates must be authorized to work in the United States without current or future employer sponsorship
At Oden, we are deeply committed to ensuring that every team member is engaged in work they are passionate about and find fulfilling. We prioritze your career development, offering personalized pathways for growth and advancement. Our approach is to align your strengths and interests with the company's goals, ensuring that you not only contribute meaningfully but also progress steadily in your professional journey, reaching new heights in your career.
We're an equal opportunity employer (EOE).
Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identification, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are the catalyst for the rapid evolution of our product and our organization. Diversity allows us to tackle new challenges, embrace change, make well-informed decisions, and ultimately Make Things Better. In alignment with our "People First" company value, Oden has a passionate internal team dedicated to the promotion of diversity and inclusion initiatives as a core component of our culture.
Our diversity initiatives apply to our practices and policies on recruiting, compensation and benefits; professional development; promotions; social activities and the ongoing development of a psychologically safe work environment.