System Soft Technologies

System Soft Technologies

Staff Data Engineer, Data Platform

Brookfield, Wisconsin · Staff+

Sponsorship not specifiedDetected 10 days ago
GitSQLPostgreSQLDynamoDBDatabricksAWSTerraformPlatform EngineeringAPI DevelopmentData EngineeringData ScienceProject ManagementSalesforceUnityHIPAAHL7/FHIRICD-10LeadershipCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 9 green-card filings in this occupation, 89% were for a worker who already held the job.

Third-party placement is common here

89% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 94 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Cisco · Fiserv · PODS (Portable on Demand Storage)Files as an H-1B dependent employer.

Green-card follow-through: 64%

Of 11 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 484 days.95% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

52 transfer filings in the last year, covering 52 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • In this position as a Staff Data Engineer of client's Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions.
  • You will ensure data systems work together across our hybrid environments with a focus on scale and performance.

Responsibilities

  • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data.
  • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration
  • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results
  • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions
  • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance
  • ETL: Building solutions within Delta Live Tables and automation of transformations
  • Medallion Architecture: Building out performant enterprise-level medallion architecture(s)
  • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions
  • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles
  • Costs: Working with the business to build cost effective and cost transparent Data solutions

Requirements

  • Experience managing and standardizing clinical data from structured and unstructured sources
  • Experience in performance tuning, query optimization, security, monitoring, and release management
  • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources
  • Experience with building and deploying IAC using terraform, asset bundles and GitHub
  • Bachelor's degree or master's degree in computer science, data engineering or related field

Benefits

  • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7
  • Health and Life Insurance business experience
  • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives
  • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise
  • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data

Company info

  • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data
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This listing is sourced directly from System Soft Technologies's careers page and normalized into a canonical job model.