Jobs in the United States

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Added 4 mins ago
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Applied AI Engineer, Team Lead
Luminai
San Mateo, CA · New York, NY
- $200,000 to $350,000 USD / year
- Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
Added 11 mins ago
Senior Security GRC Engineer, AI & Automation
TUS GBT US LLC
United States
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
Added 17 mins ago
Senior Software Engineer – Scientific Instrumentation and Process Engineering
Allen Institute
Seattle, WA
We are searching for a Senior Software Engineer that will provide technical leadership and hands-on software development for complex automated systems in which software controls and…
Added 17 mins ago
Electrical Engineer
Chugach Government Solutions
Montgomery, AL
The Electrical Engineer provides electrical engineering support in the design, construction, & maintenance of any & all facilities requirements. Leads and prepares design criteria…
Added 19 mins ago
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Commercial Technical Program Manager
Oracle
Hartford, CT
- $126,200 to $264,100 USD / year
Added 19 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Hartford, CT
Software Engineer, Infrastructure - Central Growth Responsibilities:
Added 21 mins ago
Software Engineer II - Java/J2EE
Bank of America, National Association
United States
…non-functional and compliance requirements, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust,…
Added 22 mins ago
Electronic Equipment Tech (5477)
Honeywell
Kansas City, MO
Performs rework and replacement of components. Performs evaluation on test equipment as directed by the engineer and all evaluation on consecutive out-of-tolerance calibration readings.
Added 28 mins ago
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Lead Software Engineer - Validation Solutions, Automation & Analytics
PACCAR
Mount Vernon, WA
- $104,100 to $162,900 USD / year
The Validation team at the PACCAR Technical Center is seeking a hands-on Lead Software Engineer to develop software and data solutions that improve validation efficiency, consistency, and…
Added 28 mins ago
Sr. Reliability Engineer
CSL Behring L.L.C.
United States
§ Utilize advanced data analysis, statistical modeling, and machine learning algorithms to analyze equipment performance data and predict potential failures.
Added 28 mins ago
Senior Associate - AI Engineer
New York Life
New York
…Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee…
Added 30 mins ago
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Mechanical Engineer
Actalent
North Canton, OH
- $40 to $45 USD / hour
Support customers in selecting, testing, validating, and successfully implementing products and materials in industrial applications.
Added 30 mins ago
Senior Associate - AI Engineer
New York Life Insurance Co
New York, NY
…Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee…
Added 31 mins ago
(1119997) Autonomous Systems Test & Validation Engineer
Diversified Services Network, Inc.
Tucson, AZ
DSN is seeking an Autonomous Truck Integration & Validation Engineer to join a 1st shift team supporting autonomous haul truck testing. This onsite position is based in Tucson, AZ, and…
Added 32 mins ago
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Sr Product Software Engineer - Full Stack
Disney Entertainment & Sports LLC
New York, NY · Seattle, WA
- $150,900 to $202,400 USD / year
…to executives deciding what to do next. You'll be a senior engineer building it: the services and integration layer that turn our BI and data-warehouse stack into trustworthy metrics, the…
Added 34 mins ago
Sr Software Engineer - Machine Learning & Data
ClassPass
United States
…measurable impact. We're growing the team and looking for an engineer who loves turning data into real business…
Added 36 mins ago
Mechanical Design Engineer (Experienced & Senior)
The Boeing Company
Berkeley, MO
Boeing Test & Evaluation (BT&E) is looking for a Mechanical Design Engineer to support the Environmental Test Design Engineering team in Berkeley, MO.
Added 40 mins ago
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Business Intelligence Engineer
Vericast
San Antonio, TX
- $90,000 to $109,000 USD / year
Administer Power BI workspaces, gateways, security models, deployment pipelines, source control, testing, release management, and reporting governance processes.
Added 43 mins ago
SRM E/C Test Operator
Borusan Pipe USA
Baytown, TX
1.5. Knowledge of Non-Destructive Testing processes and procedures for at least one year is a plus.
Added 45 mins ago
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Senior Network Development Engineer
Oracle
Seattle, WA
- $91,400 to $187,000 USD / year
…High-Performance Compute (HPC), Artificial Intelligence and Machine Learning advancements. We envision a future where artificial intelligence and machine learning revolutionize industries,…
Added 46 mins ago
Automation Engineer
Faurecia
Saline
In his/her field of expertise, and through either plant, program or generic processes, the Automation Engineer will:
Added 46 mins ago
Interior Radar Development Support Engineer
Faurecia
Northville
Our Interior Radar Development Support Engineer will execute the hands-on work of an in-cabin radar system: flashing, calibration, data collection, data quality, dataset preparation,…
Added 48 mins ago
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Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality…
Added 52 mins ago
CF
Pump Mechanic
Celeros Flow Technology
Pasadena, TX
- $35 to $38 USD / hour
Perform manual statistical testing to ensure machine is re-built to specifications.
Added 57 mins ago
Application Engineer Specialist
SKF
Blue Bell, PA, PA
The Application Engineer at SKF is tasked with working closely with a team of engineers to understand and select SKF product solutions (bearings, seals, lubrication, condition monitoring,…

Closed listing

Abbott Laboratories

Staff Data Engineer

Madison, WI, United States

The base pay for this position is $99,300.00 – $198,700.00.

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: The base pay for this position is $99,300.00 – $198,700.00.
Experience: 8+ years of progressively responsible experience in data engineering or a closely related discipline.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data products, capabilities, and integrations. The role establishes, communicates, and evolves the technical approach for the work it leads and is accountable for the quality, durability, and supportability of the solutions it shapes. Staff Data Engineers work directly with business stakeholders to understand needs and shape technical solutions, engaging at a level appropriate to the work they lead. The role is expected to be fluent in both technical execution and business context, translating between them without losing precision in either.

The Staff Data Engineer sets technical direction for assigned capabilities and initiatives within the domain, applies enterprise standards and platform patterns, engages Principal Engineers where cross-domain considerations apply, and multiplies the effectiveness of the domain team through design leadership, code review, and mentoring.

This role is based in Madison, WI. Relocation assistance may be available for qualified candidates.

Essential Duties

Include, but are not limited to, the following:

Technical design and solutioning

Own technical design and hands-on delivery for the most complex or highest-risk work across assigned data products, capabilities, and initiatives, including data models, pipeline architecture, integration patterns, and platform usage decisions.
Produce design documentation that allows others to understand, review, and build on technical decisions, and drive design review with domain and cross-domain peers.
Build and evolve assigned domain data products so they are documented, discoverable, governed, observable, and supported throughout their lifecycle for reuse across analytics, semantic layers, machine learning, and AI applications.
Define and uphold data contracts for the products the domain publishes, including schemas, freshness and availability expectations, breaking-change policy, and producer and consumer responsibilities.
Design data products for AI and machine learning consumption with reproducibility, lineage, timeliness, and defined data quality controls appropriate to the use case.
Diagnose and resolve complex production and data quality issues, and drive root cause resolution rather than recurring remediation.
Use approved AI-assisted development tooling where appropriate to accelerate engineering work, validating output against correctness, security, privacy, and quality standards.
Own the technical cost efficiency of assigned data products, including compute and warehouse sizing, job and query optimization, serverless and storage tradeoffs, and cost-to-serve implications.
Evaluate and recommend tools, patterns, and platform capabilities within enterprise standards, raising cases where an exception may be warranted.

Stakeholder engagement

Work directly with business stakeholders to understand needs, clarify requirements, and shape technical solutions.
Communicate technical concepts, tradeoffs, constraints, and delivery implications clearly to non-technical audiences.
Participate in technical working sessions with partner organizations such as Software Engineering, IT Applications, and Enterprise Architecture on integration and design questions affecting the domain.
Surface scope, priority, resourcing, and technical-debt implications of technical decisions for leadership review rather than resolving them independently.

Technical leadership and multiplication

Serve as a technical lead for assigned domain capabilities and initiatives, guiding engineers through design and implementation without formal authority.
Provide code and design review that raises quality and consistency across the domain team.
Mentor engineers and support their technical growth, including engineers transitioning into data engineering from adjacent disciplines.
Engage Principal Engineers on cross-domain architecture patterns and enterprise standards, and contribute domain perspective to initiatives that extend beyond the domain.
Lead adoption and continuous improvement of domain testing, observability, CI/CD, and delivery practices within enterprise standards.

Operational excellence and compliance

Ensure delivered solutions meet requirements for quality, reliability, scalability, performance, observability, security, privacy, access, and lifecycle management.
Design and implement appropriate handling of protected health information and other sensitive data, including access control, masking and de-identification, lineage, retention, and audit support consistent with HIPAA, CLIA, and enterprise privacy standards.
Serve as domain subject matter expert for significant production incidents affecting domain systems.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company's Quality Management System policies and procedures.
Maintain regular and reliable attendance.
Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering.
8+ years of progressively responsible experience in data engineering or a closely related discipline.
Demonstrated experience owning technical design and hands-on delivery for complex data products, pipelines, or platform capabilities from design through production support.
Advanced SQL and Python, with experience applying relational, dimensional, and semi-structured data modeling approaches.
Experience designing and operating scalable, reliable distributed data systems on a modern data platform such as Databricks, including Spark, and using cloud infrastructure services such as AWS, Azure, or Google Cloud Platform.
Experience with version control, automated testing, and CI/CD practices, and with orchestration and transformation tooling such as Databricks Workflows, Delta Live Tables, Airflow, or dbt.
Experience delivering governed data using catalog, lineage, access control, and data quality capabilities such as Unity Catalog.
Demonstrated ability to work directly with business stakeholders to translate needs into technical solutions, mentor engineers, and raise technical quality across a team.
Demonstrated ability to perform the essential duties of the position with or without accommodation.

Preferred Qualifications

Experience with streaming and event-driven architectures such as Kafka.
Experience in a regulated environment such as HIPAA, CLIA, SOX, FDA, ISO 13485, or IEC 62304, ideally in life sciences, diagnostics, or clinical laboratory data handling protected health information.
Experience with semantic layers, metric definitions, data products, or feature pipelines supporting analytics, machine learning, and AI use cases in production.
Experience with open data file and table formats such as Parquet, Avro, and Delta Lake.
Experience with REST API development and integration patterns.
Familiarity with business intelligence concepts and semantic consumption patterns, including how data models and platform design affect performance in tools such as Tableau.

The base pay for this position is $99,300.00 – $198,700.00. In specific locations, the pay range may vary from the range posted.

About employer

More about this job

Skills

Data models
Documentation
Machine learning
Stakeholder management
Leadership
Data engineering
Process improvement
CI/CD
Regulatory compliance
Teamwork
Quality assurance procedures
Computer science
SQL
Python
Data modelling
Databricks
Apache Spark
AWS
Microsoft Azure
Google Cloud
Test automation
Apache Airflow
dbt
Unity
Apache Kafka
Apache Avro
API development
Business intelligence
Tableau

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