Data Engineer at InductiveHealth

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Public Health, HealthcareIndustries

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
A minimum of 3 years of experience implementing enterprise-grade data pipelines OR 7 years of equivalent professional experience implementing enterprise-grade data pipelines
Proven ability to build robust, production-grade pipelines from the ground up and work confidently with distributed data systems
Hands-on expertise with NiFi, Kafka, Python, and SQL, including designing, operating, and optimizing ETL/ELT pipelines in the cloud
Experience using or integrating with OpenSearch/Elasticsearch
Familiarity with CI/CD and DevOps practices; able to partner with DevOps/SRE to integrate pipelines into existing tooling
Practical experience using relational databases and existing schemas (implementing against established data models; extending under guidance)
Strong understanding of data security and compliance requirements for sensitive data
Excellent cross-functional collaborator with clear communication and strong technical documentation skills
Thrives in complex data environments, fast-paced agile settings, with a curious, proactive problem-solving mindset and growth-oriented passion for interoperability challenges

Responsibilities

Design and operate secure, high-performance data pipelines for real-time and batch public health data flows
Architect and implement scalable solutions that move sensitive health data reliably and meet strict security and compliance standards
Build and optimize ETL/ELT pipelines using NiFi, Kafka, Python, and SQL
Collaborate with interoperability, product, and data science teams to migrate legacy pipelines to modern architectures
Fine-tune data lakes and ensure smooth data exchange across systems
Define monitoring and alerting strategies and create runbooks to support operational teams
Troubleshoot production issues to maintain stable and performant pipelines
Drive continuous improvement across the data ecosystem through collaboration, innovation, and strong execution
Contribute to building and delivering high-quality, scalable integrations that drive rapid product progress
Collaborate closely with teammates to share knowledge and ensure smooth, efficient development workflows

Skills

NiFi

Kafka

Python

SQL

ETL

ELT

InductiveHealth

Public health data infrastructure and surveillance

About InductiveHealth

InductiveHealth provides data infrastructure and surveillance solutions for public health agencies, focusing on disease and syndromic surveillance. They manage more jurisdictional surveillance systems than any other firm, using platforms like the NEDSS Base System and the Johns Hopkins University Applied Physics ESSENCE platform. Their services, including the COVID-19 Data Tracker, help health agencies track and manage disease data effectively. InductiveHealth aims to enhance public health agencies' capabilities in monitoring and responding to health threats.

Atlanta, GeorgiaHeadquarters

2013Year Founded

BUYOUT_LBOCompany Stage

Government & Public Sector, HealthcareIndustries

51-200Employees

Benefits

Remote Work Options

Unlimited Paid Time Off

401(k) Company Match

401(k) Retirement Plan

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance

Risks

Emerging health tech startups threaten InductiveHealth's market share.

Rapid AI advancements may outpace InductiveHealth's current offerings.

Data privacy concerns could impact client trust and compliance costs.

Differentiation

InductiveHealth manages more jurisdictional surveillance systems than any other firm.

The company developed the COVID-19 Data Tracker during the pandemic.

InductiveHealth specializes in scalable and customizable surveillance systems for public health agencies.

Upsides

Growing demand for real-time data analytics benefits InductiveHealth's surveillance technologies.

AI and machine learning integration offers enhanced predictive analytics opportunities.

Cloud-based solutions trend aligns with InductiveHealth's scalable system offerings.

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