Unite USA Inc. dba Unite Us
Staff Data Engineer
Location: New York, New York
Job Description
The Staff Data Engineer will lead enterprise-wide data architecture strategy and long-term data
platform design. Evaluate and approve major technical designs, including establishing
engineering best practices. Serve as technical advisor to leadership and influence product/data
roadmap. Champion data governance, democratization, and scalable data standards. Work with
cross functional teams including the Solutions Delivery, Business Intelligence; Predictive
Analytics, and Enterprise Services teams to assist with and support any data-related technical
issues and/or needs. Analyze, manipulate, and process large sets of data using statistical
software. Develop ETL (Extract, Transform, Load) and data pipeline solutions using Airflow,
DBT, Python, and Snowflake to load a data warehouse. Design and manage ETL workflows to
support large-scale ingestion, transformation, and loading of data. Build and scale CI/CD
pipelines and enterprise-wide data quality frameworks. Test internal data pipelines for reliability
and performance. Test, validate, and reformulate models to ensure accuracy. Complete and
improve monitoring and validation processes to maintain pipeline reliability and data accuracy.
Write new functions or applications in programming languages to conduct analysis. Build
streaming pipelines with Confluent Kafka for event-driven processing. Build dashboards and
monitors for pipeline health, freshness, uptime, and SLA compliance. Apply data modeling to
extract and analyze information from large structured and unstructured datasets. Telecommuting
available anywhere in the United States. Annual salary between $175,000 - $200,000.
Job Requirements
Requires at least a Master’s degree or foreign equivalent in Data Science, Applied Computer
Science, Computer Science or a related field. Must possess 4 years (48 months) of experience
with all of the following: (a) developing and optimizing scalable pipelines using Apache Airflow
and Python; (b) building streaming pipelines using Kafka; (c) tuning big data systems using
Kafka and Hive; (d) using Spark to create jobs for batch and streaming analytics; (e) writing and
using complex SQL queries to retrieve data from data warehouses for analysis and reporting (f)
using AWS for data processing and large-volume workloads; (g) automating deployment of code
and processes using Python; (h) working with cloud-based infrastructure; (i) building Datadog
dashboards to monitor pipelines and system performance; (j) using Docker and Kubernetes to
improve and validate containerization and automation reliability; (k) implementing Continuous
Integration/Continuous Deployment (CI/CD) using Jenkins; and (l) utilizing all of the following:
GitHub as a code repository, Windows and Linux operating systems. Experience may be gained
concurrently. Telecommuting available anywhere in the United States.
Benefits: Paid Parental Leave; 401K Match; Flexible Vacation Time; Medical, Dental and
Vision Coverage; Commuter Benefits.
Skills Required
- Master's degree or foreign equivalent in Data Science, Applied Computer Science, Computer Science, or a related field
- At least 4 years of experience developing and optimizing scalable pipelines using Apache Airflow and Python
- At least 4 years of experience building streaming pipelines using Kafka
- At least 4 years of experience tuning big data systems using Kafka and Hive
- At least 4 years of experience using Spark to create batch and streaming analytics jobs
- At least 4 years of experience writing and using complex SQL queries with data warehouses
- At least 4 years of experience using AWS for data processing and large-volume workloads
- At least 4 years of experience automating code and process deployment using Python
- At least 4 years of experience working with cloud-based infrastructure
- At least 4 years of experience building Datadog dashboards for pipeline and system monitoring
- At least 4 years of experience using Docker and Kubernetes for containerization and automation reliability
- At least 4 years of experience implementing CI/CD using Jenkins
- Experience using GitHub as a code repository, Windows, and Linux operating systems
Unite Us Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unite Us and has not been reviewed or approved by Unite Us.
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Healthcare Strength — Health coverage, mental‑health access, and EAP resources are comprehensive, spanning medical, dental, vision, wellness tools, and employer HSA support. Several elements are provided at no additional cost for many, strengthening everyday access to care.
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Leave & Time Off Breadth — Flexible/unlimited PTO is paired with paid sick, volunteer, and mental‑health days, alongside a broad set of paid company holidays. Policies provide wide latitude for time away from work.
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Parental & Family Support — Paid parental leave extends to adoptive parents and is supplemented by family medical leave. Caregiver resources for child and elder care add practical support for families.
Unite Us Insights
What We Do
Founded in 2013 by Military Veterans, Unite Us is the nation’s premier technology provider for integrating health and community-based care. Our advanced product suite is used to proactively coordinate services using data-driven insights, streamline referral and case management, and facilitate eligibility assessments and reimbursements across government, healthcare, health plans, and community organizations. The first of its kind, our closed-loop referral system prioritizes privacy and dignity and has integrated data and analytics tools used to measure impact, optimize programs, and shape policy. With over 1.7M services, we host the nation’s largest network of community-based health and economic services dedicated to improving whole-person health. Learn more at UniteUs.com and LinkedIn.
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