Senior Data and Analytics Engineer

at Dataroles

North Chicago, hybrid, senior, full time, USD 1,09,500–2,08,500 / year, 5+ years

posted 02 Nov 2026

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Spark Structured Streaming
Apache Iceberg
AWS Step Functions
Infrastructure as Code
PySpark
Amazon S3
Alation
AWS CloudWatch
AWS Glue
AWS Lake Formation
Apache Airflow
Redshift Spectrum
Python
Scala
Amazon Kinesis
AWS CloudTrail
SQL
Apache Spark
Git
Amazon EMR
Amazon Redshift
dbt
CI/CD
Apache Kafka
AWS IAM
AWS Secrets Manager

About the role

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dataroles

What you would do

* Build and support production data pipelines and products for structured, semi-structured and unstructured information * Use AWS lakehouse and warehouse components to model data, apply medallion layers and improve query performance * Turn business domains into governed data products for dashboards, self-service analysis, APIs, data science and AI * Set up ingestion and orchestration with monitoring, recovery, retries and backfills across batch and streaming workloads * Guide designs and delivery, manage technical risks, and own solutions through deployment, support and ongoing improvement

* 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.

Read from dataroles.co, last seen 3d ago.

What they are looking for

* A relevant bachelor's degree plus seven years of experience, a master's plus six, or a doctorate plus two * At least five years delivering enterprise data warehouse, lakehouse, engineering and analytics solutions * Advanced SQL and Python skills, plus hands-on PySpark or Scala work with distributed Spark processing * Experience building AWS lakehouse and warehouse solutions with S3, Iceberg or comparable formats, Glue, EMR and Redshift * Hands-on background with production pipelines, orchestration, data governance, CI/CD and automated testing

Who this fits

This senior role suits an engineer who can work across technical teams and business stakeholders, lead solution delivery, and handle production ownership with minimal oversight. The work supports Operations and Supply Chain, and the listed location is North Chicago with a hybrid arrangement. Further education can qualify alongside the stated experience alternatives.

From the employer

* 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.

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:

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

✓Data Analysis & BI✓$100k+

Find me work

By the team behind dataroles.

Find me work

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.