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.
JOB FAMILY
Product Development
DIVISION
ONCO Cancer Diagnostics
LOCATION
United States > Madison : 1 Exact Lane
ADDITIONAL LOCATIONS
WORK SHIFT
Standard
TRAVEL
Yes, 10 % of the Time
MEDICAL SURVEILLANCE
No
SIGNIFICANT WORK ACTIVITIES
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
