Jobs in the United States

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Added 13 mins ago
Senior Software Engineer - Operational Improvement
WGU Academy
Salt Lake City, UT
The Senior Software Engineer is responsible for the research, design, development, analysis, testing, and implementation of software operating or application systems. They communicate…
Added 16 mins ago
O
Principal Core Infrastructure Engineer
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
Familiarity with cloud platforms, containerized services, CI/CD, observability, and operational practices.
Added 19 mins ago
J
Software Engineer (JAVA)
Jobot
Gaithersburg, MD
- $140,000 to $175,000 USD / year
…across cloud strategy, cybersecurity, systems integration, data engineering, machine learning, AI, disaster recovery, and enterprise infrastructure…
Added 22 mins ago
Corporate Vice President - Google Cloud Lead Engineer (GCP)
New York Life Insurance Co
United States
New York Life is seeking an experienced Google Cloud Lead Engineer to drive enterprise‑scale cloud architecture, modernization, and operational excellence across our Google Cloud Platform…
Added 29 mins ago
Principal Site Reliability Engineer
Hitachi Global
Raleigh, NC · Houston, TX · Atlanta, GA · Broomfield, CO
Define and implement reliability standards for observability, establish service health practices, and drive consistent operational practices across products and platforms to enable scalable…
Added 44 mins ago
Enterprise Sales Engineer - Rockies
Datadog
Remote, United States
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings…
Added 45 mins ago
Senior, data engineer
GlaxoSmithKline LLC
Philadelphia, PA
Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and…
Added 45 mins ago
Senior, data engineer
GlaxoSmithKline LLC
Philadelphia, PA
Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and…
Added 57 mins ago
Application Support Engineering - SRE
DTCC Candidate Experience
Coppell, TX · Jersey City, NJ · Tampa, FL · TX · Dallas, TX
As an Application Support Engineer (SRE), you will help ensure the availability, reliability, and performance of mission-critical applications supporting DTCC’s Common Data Transfer…
Added 58 mins ago
Staff Software Engineer, Tech Foundations
Airbnb
United States
The Observability team builds the platform Airbnb engineers use to understand how their systems behave in production. We collect, process, store, and query metrics, logs, events, and traces…
Added 1 hour ago
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Site Reliability Engineer III
Kforce
Chicago, IL
- $60 to $65 USD / hour
Kforce has a client seeking a Site Reliability Engineer in Chicago, IL. This role will serve as a primary SRE within a geographically distributed team supporting a greenfield technology…
Added 1 hour ago
Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Derex Technologies Inc
Remote, United States
Position: Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Added 1 hour ago
Staff Software Engineer, Reliability
LinkedIn
Mountain View, CA
Full-stack engineering experience, including building user-facing web applications and operational dashboards using modern frontend frameworks such as React.js, along with backend APIs and…
Added 1 hour ago
APPLICATION DEVELOPER
Atos
PHOENIX, AZ
We are looking for 6+ years exp on Site Reliability Engineer (SRE) with strong Java , Observability(Splunk, ELK)and cloud fundamentals to support and improve production systems.
Added 1 hour ago
APPLICATION DEVELOPER
Atos
Phoenix, AZ
…Scripting Role Overview We are looking for an experienced SRE Engineer with strong hands-on experience in Java applications and Informatica ETL workflows to support and improve the…
Added 1 hour ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
McLean, VA
Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business…
Added 1 hour ago
Staff Software Engineer - Backend Networking
Dragos
United States
…Linux-based network sensor that captures and processes traffic from operational technology (OT) and industrial control system (ICS) environments in real time. As a Staff Software Engineer…
Added 1 hour ago
Senior/Staff Platform Engineer, Infrastructure & Security
Quilter
Remote, United States
- Partner on safe deployment and data access. Work with the engineers building our delivery, runtime, and data platforms to embed security and operational requirements into reusable systems.
Added 1 hour ago
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Senior Staff Data Engineer
Biohub
NY · Redwood City, CA
- $270,000 to $300,000 USD / year
As a Senior Staff Data Engineer at Biohub, you'll be designing systems that ingest data from public repositories, transform heterogeneous biological formats into AI-ready datasets, combine…
Added 1 hour ago
Lead Platform Engineer, Agentic Issue Resolution (AIR)
Ford
Redford, MI · Redford Charter Twp, MI · Redford Charter Twp
Plant teams lose hours each shift piecing together what went wrong: pulling data from separate systems, chasing history, and rebuilding context before they can fix anything. That groundwork…
Added 1 hour ago
TT
Founding Fullstack Engineer
True Talent Solutions Partners
New York, NY
- $160,000 to $250,000 USD / year
- Design secure, auditable data models and event-driven pipelines that support agent workflows.
Added 1 hour ago
Senior Data Engineer
Medisolv, Inc.
Remote, United States
Reporting to Director of AI & Data Engineering, we are looking for an experienced Senior Data Engineer to join our team.
Added 1 hour ago
Senior Lead Software Engineer - Network Infrastructure and Automation
Nightwing
Sterling, VA
…missions. We're looking for a talented Senior Lead Software Engineer who excels at solving complex networking challenges and building high-performance, software-defined solutions. In this…
Added 1 hour ago
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Principal Application Software Engineer- Oracle Health
Oracle
United States
- $99,600 to $209,500 USD / year
The long-term vision is to create an intelligent healthcare platform where clinical, operational, financial, and patient data work together seamlessly to improve healthcare delivery, reduce…
Added 1 hour ago
O
Senior Application Software Engineer- Oracle Health
Oracle
United States
- $87,000 to $187,000 USD / year
The long-term vision is to create an intelligent healthcare platform where clinical, operational, financial, and patient data work together seamlessly to improve healthcare delivery, reduce…

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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