Jobs in the United States

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Added 1 min ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Pierre, SD
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 1 min ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Pierre, SD
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 5 mins ago
FM
Sr. Principal Integration Engineer - Cloud Solutions
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 5 mins ago
Portfolio Engineer
Healthpeak Properties, Inc.
Cambridge, MA
The Director - Portfolio Engineer provides senior building engineering leadership for a portfolio of life science, office and medical office properties. This role establishes and advances…
Added 5 mins ago
Cloud Systems Engineer (Secret) (4496)
SMX
Boston, MA
SMX is seeking Cloud Systems Engineers (Junior/Mid/Senior/SME) supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support…
Added 5 mins ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Boston, MA
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 5 mins ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Cambridge, MA · Boston, MA
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 5 mins ago
Senior Software Engineer
ManpowerGroup
Boston, MA
Our client is seeking a Senior Software Engineer to join their team. As a Senior Software Engineer, you will be part of the Engineering organization supporting Analytics Engineering. The…
Added 5 mins ago
Senior Engineer, Google Cloud
PwC
Boston, MA
As a Senior Engineer, Google Cloud you will focus on building, testing, and optimizing cloud-native applications on Google Cloud, supporting work that spans the full software development…
Added 45 mins ago
J
Big Data Architect IT Consultant Master
Jobgether
Remote, United States
- $75 to $80 USD / hour
We are seeking a senior Big Data Architect to support the design, development, implementation, and maintenance of an enterprise-wide data platform as part of a major data modernization…
Added 1 hour ago
IC
Senior Memory Characterization & Reliability Engineer
Intel Corporation
CA · OR
- $164,100 to $219,550 USD / year
Intel Foundry is seeking a Senior Memory Characterization & Reliability Engineer to join our Memory Technology Development organization. In this role, you will drive reliability assessment,…
Added 1 hour ago
Data Governance Manager
The Howard University
United States
This position will report to the Chief Data and Analytics Officer and partner with the Senior Data Engineer, Cloud Engineer, Database Administrator, institutional data owners and stewards,…
Added 1 hour ago
Cloud Engineer
The Howard University
United States
The Cloud Engineer is responsible for designing, implementing, maintaining, and optimizing secure and scalable Microsoft Azure cloud infrastructure supporting institutional data, analytics,…
Added 1 hour ago
Senior Data Engineer
The Howard University
United States
The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data infrastructure that supports institutional analytics, reporting, data science, and strategic…
Added 1 hour ago
Senior Solutions Engineer
Dossier
Remote, United States
We are hiring a Senior Solutions Engineer to own the demo and the technical win on our largest enterprise deals. This is a true pre-sales role: you partner with our Enterprise Account…
Added 1 hour ago
Principal Digital Factory Engineer IV
RTX Corporation
tucson, AZ
We are seeking a Principal Digital Factory Engineer to design, develop, integrate, and support advanced digital factory solutions deployed across multiple Raytheon manufacturing sites. This…
Added 1 hour ago
Senior Engineer, Google Cloud
PwC
Phoenix, AZ
As a Senior Engineer, Google Cloud you will focus on building, testing, and optimizing cloud-native applications on Google Cloud, supporting work that spans the full software development…
Added 1 hour ago
Senior Data Platform Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.
Added 2 hours ago
Senior Data Engineer
Alter Domus
United States
Join our team as a Senior Data Engineer building and operating the Alter Domus data platform, a Databricks lakehouse on AWS that hydrates data from our fund administration, accounting, and…
Added 3 hours ago
Senior Data Architect and Engineer
Gulf Coast Automation Group
Chicago · Chicago, IL
TalentFish is casting a line for a Senior Data Architect and Engineer. This is a direct hire hybrid in Chicago. This senior hands-on role will help the company define scalable architecture…
Added 3 hours ago
GC
Senior Analytics Engineer
Gulf Coast Automation Group
Chicago · Chicago, IL
- $135,000 to $160,000 USD / year
TalentFish is casting a line for a Senior Analytics Engineer. This is a direct hire role, hybrid in Chicago - downtown. This is a tremendous opportunity. This senior individual contributor…
Added 3 hours ago
Senior Data and AI Engineer
Gulf Coast Automation Group
Chicago · Chicago, IL
TalentFish is casting a line for a Senior Data and AI Engineer This is a direct hire role in Downtown Chicago with are premier client in the manufacturing industry – our client is a high…
Added 3 hours ago
Senior BI Engineer
Insight Global
Blue Ash, OH
Insight Global is seeking a Senior BI Engineer for a leading healthcare technology organization. This role focuses on building and optimizing enterprise-scale business intelligence…
Added 3 hours ago
AI Security Engineer
Trimble Inc
Dayton, OH
Protect Enterprise Innovation as Our Next AI Security Engineer! Are you ready to lead the defense of cutting-edge artificial intelligence systems across a global technology leader? Join our…
Added 3 hours ago
Sr. Security Engineer - Cloud Threat Detection
The Hartford
Columbus, OH
The Hartford's Information Protection (THIP) organization is seeking a Sr. Security Engineer, Cloud Threat Detection Engineer to design and enhance enterprise-scale cloud threat detection…

AbbVie

Senior Data and Analytics Engineer

North Chicago, IL, United States

$109,500 to $208,500 USD / year

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Job details

Pay: $109,500 to $208,500 USD / year
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Data and Analytics Engineer will be responsible for translating complex business and data requirements into scalable, secure, and high-performing analytics and data engineering solutions for the Operations (Supply Chain) organization. The role will partner closely with internal DATA (Data, AI, Transformation and Automation) teams, and cross functional Business Technology Solutions (BTS), business stakeholders, architects, and delivery teams to understand strategic priorities and design, build, and deliver modern data solutions that enables analytics, business intelligence, and AI use cases. This role requires a strong combination of hands-on technical expertise and strategic thinking, understanding the North Star platform architecture to implement practical engineering solutions while ensuring alignment with enterprise architecture, development standards, data governance, security, and engineering best practices. The individual will also provide technical leadership throughout the solution lifecycle, proactively manage technical risks and dependencies, and communicate effectively with both technical and business stakeholders.

Responsibilities

Hands-on engineering and solution delivery: Design, develop, test, deploy, and support production-grade data pipelines and data products for structured, semi-structured, and unstructured data. Build for both batch and near-real-time/streaming patterns, with reusable components, parameterized frameworks, and automated recovery.
Lakehouse and modern data warehouse architecture: Implement solutions using Amazon S3, Apache Iceberg/open table formats, AWS Glue Data Catalog, Amazon EMR/Spark, Amazon Redshift and Redshift Spectrum. Apply medallion patterns (Bronze, Silver, Gold), dimensional and domain-oriented modeling, workload isolation, partitioning, clustering/sort strategies, and performance optimization.
Data product and data mesh enablement: Translate business domains into discoverable, interoperable, and governed data products. Define product contracts, ownership, metadata, quality expectations, service-level objectives, lineage, and approved consumption patterns for dashboards, self-service analytics, APIs, data science, and AI.
Ingestion and orchestration: Engineer reliable ingestion from enterprise applications, databases, files, APIs, and event streams. Develop orchestration using tools such as Apache Airflow, dbt, AWS Step Functions or equivalent approved platforms, with dependency management, idempotency, observability, alerting, and backfill capability.
Data quality, governance, and security: Embed automated data-quality controls, reconciliation, schema validation, lineage, cataloging, retention, encryption, least-privilege access, and auditability. Partner with data governance, security, privacy, architecture, and platform teams to meet AbbVie standards and regulated-industry expectations.
DevSecOps and engineering excellence: Establish source-control, code-review, automated testing, CI/CD, infrastructure-as-code, environment promotion, release management, and operational monitoring practices. Improve reliability, cost, performance, and developer productivity through measurable engineering standards.
Business partnership and technical leadership: Understands organization's vision, goals, and strategies and partner with DATA, BTS, Operations stakeholders to translate complex requirements into scalable designs. Provide technical direction, resolve design and delivery issues, communicate risks and trade-offs, and contribute to portfolio prioritization and roadmap decisions.
Operational ownership: Own solutions through the full lifecycle, including production readiness, deployment, support transition, incident resolution, root-cause analysis, technical debt reduction, and continuous improvement. Work with minimal oversight while escalating material risks early.

Qualifications

Required:

Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related field plus 7 years of relevant experience; Master's Degree plus 6 years of experience; PhD plus 2 years of experience.
Respective years of hands-on experience designing and delivering enterprise modern data warehouse, Lakehouse, data engineering, and analytical solutions.
Advanced proficiency in SQL and Python, with strong hands-on experience in PySpark or Scala and distributed data processing on Apache Spark/EMR or a comparable platform.
Demonstrated experience building large Lakehouse and modern warehouse solutions using Amazon S3, Apache Iceberg or comparable open table formats, AWS Glue, Amazon EMR, Amazon Redshift, and Redshift Spectrum.
Proven experience with medallion architecture, data modeling, schema design, incremental processing, change data capture, partitioning, performance tuning, and cost optimization.
Experience developing production-grade batch and streaming data pipelines, including orchestration, retries, backfills, observability, alerting, and operational support.
Hands-on experience with data transformation and orchestration tools such as Apache Airflow, AWS Step Functions or approved equivalents.
Experience implementing CI/CD, automated testing, Git-based development, infrastructure-as-code, and Agile DevOps delivery practices.
Demonstrated ability to build governed, AI-ready data products that support BI, self-service analytics, data science, machine learning, and contextual AI consumption.
Strong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to work effectively across technical and business teams in a matrixed organization.
Experience with data catalogs, lineage, and governance platforms such as Alation, AWS Glue Data Catalog, or approved equivalents.

Preferred:

Supply Chain or Operations domain knowledge across planning, sourcing, inventory, manufacturing, logistics, or distribution.
Experience with streaming technologies such as Amazon Kinesis, Apache Kafka, Spark Structured Streaming, or equivalent platforms.
Working experience with AWS Lake Formation, IAM, Secrets Manager, CloudWatch, CloudTrail, and enterprise controls for secure data platforms.
Experience exposing data through APIs, semantic models, governed data services, or feature/context layers for AI-enabled applications.
Relevant cloud or data engineering certifications are beneficial but not required.
5+ years of hands-on experience designing and delivering enterprise modern data warehouse, Lakehouse, data engineering, and analytical solutions.

Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

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More about this job

Skills

Data engineering
Supply chain management
Business intelligence
Leadership
Unstructured data
Data warehouse
AWS
EMR
Apache Spark
Amazon Redshift
Apache Airflow
dbt
Cataloging
Test automation
CI/CD
Infrastructure as code
Monitor operations in the leather industry
Prioritization
Root cause analysis
Process improvement
Computer science
SQL
Python
PySpark
Scala
Process data
Data modelling
Git
Agile
DevOps
Machine learning
Problem solving
Communication skills
Stakeholder management
Logistics
Amazon Kinesis
Apache Kafka
Identity and access management
Compensation and benefits

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