Data Platform & Analytics Engineer

Indigenous Pact PBC, Inc.
Portland, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 140K

Job location

Remote
Portland, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Backup Devices
Information Systems
Databases
Continuous Integration
Data Architecture
Data Validation
Data Dictionary
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Data Retention
Data Security
Data Structures
Data Systems
Data Warehousing
Relational Databases
DevOps
Dimensional Modeling
Disaster Recovery
Electronic Data Interchange (EDI)
Identity and Access Management
Interoperability
Python
Operational Databases
Performance Tuning
Power BI
Software Engineering
SQL Databases
Systems Integration
Enterprise Data Management
Data Processing
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Cloud Platform System
Azure
Fast Healthcare Interoperability Resources
Spark
GIT
Data Lake
Information Technology
Data Analytics
Performance Monitor
Health Level Seven International
Enterprise Integration
Data Management
Software Version Control
Data Pipelines
Api Management
Databricks

Job description

Indigenous Pact is seeking a talented and experienced Data Platform & Analytics Engineer who is passionate about building scalable data solutions and transforming complex data into trusted, actionable information. The Data Platform & Analytics Engineer designs, builds, operates, and continuously improves the organization's data platform and analytics infrastructure. This role develops and maintains data pipelines, integrations, Azure Databricks solutions, data models, and analytics-ready datasets that enable reporting, business intelligence, and data-driven decision-making. The role also administers platform security, operations, and governance.

Serving as a bridge between application development and business intelligence, the Data Platform & Analytics Engineer ensures that data is trusted, accessible, secure, and scalable for enterprise use. The role collaborates closely with Full Stack Developers, BI Analysts, and business stakeholders to create reliable data products that support operational excellence, strategic planning, and organizational growth.

Essential Job Functions

  • Design, develop, and maintain data pipelines, integrations, and automated data workflows
  • Build and support data lake, data warehouse, Databricks, and analytics platform solutions
  • Develop, optimize, and maintain ETL/ELT processes to ingest, transform, and organize data from internal and external systems
  • Create and maintain analytics-ready datasets, semantic models, and data structures optimized for Power BI consumption, in collaboration with BI Analysts on semantic model design
  • Develop and maintain data transformation workflows using SQL, Python, Databricks, and other modern data platform tools
  • Own operational health of the data platform, including monitoring, alerting, incident response, and continuous reliability improvements
  • Implement data validation, testing, reconciliation, and monitoring processes to ensure data accuracy and integrity
  • Develop and maintain technical documentation, data dictionaries, lineage documentation, and operational procedures
  • Collaborate with application developers, BI analysts, and business stakeholders to define data requirements and deliver data solutions
  • Establish and promote data engineering standards, best practices, and governance processes
  • Evaluate and recommend improvements to data architecture, tools, processes, and technologies
  • Administer database and data platform security, including access management, role-based permissions, and auditing of data access
  • Ensure data solutions comply with privacy, regulatory, and data governance requirements
  • Manage database and platform operations including backup, recovery, disaster recovery planning, and environment management
  • Monitor and optimize platform compute utilization and cost, including Databricks cluster configuration and workload efficiency
  • Implement data retention, archival, and cataloging policies
  • Participate in solution design, architecture reviews, and strategic data initiatives

Requirements

Technical Skills

  • Advanced SQL development and performance tuning
  • Strong understanding of relational databases, data warehousing, and dimensional modeling
  • Experience designing and supporting ETL/ELT pipelines and data integration solutions
  • Experience with cloud-based data platforms (Azure, AWS, or Google Cloud)
  • Experience with Azure Databricks, Apache Spark, or similar large-scale data processing platforms
  • Proficiency in Python or similar scripting language used for automation and data processing
  • Experience with API integrations, data exchange, and system interoperability
  • Knowledge of source control and software development practices (Git, CI/CD, DevOps)
  • Experience implementing data quality, testing, monitoring, and observability practices
  • Experience with database administration functions, including security administration, performance monitoring, capacity planning, and backup/recovery
  • Experience designing datasets that support Power BI or similar enterprise BI platforms
  • Experience with data orchestration and workflow scheduling tools (e.g., Databricks Workflows, Azure Data Factory)

Analytics & Business Skills

  • Understanding of business intelligence and analytics concepts
  • Ability to design analytics-ready datasets and reusable data assets
  • Ability to translate business requirements into scalable technical solutions
  • Strong analytical, troubleshooting, and problem-solving capabilities

Interpersonal Skills

  • Strong verbal and written communication skills
  • Ability to communicate effectively with technical and non-technical audiences
  • Strong collaboration and stakeholder engagement skills
  • Ability to manage multiple priorities and work independently in a fast-paced environment, * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field; equivalent combination of education and experience may be considered
  • 5+ years of experience in data engineering, analytics engineering, data platform engineering, or a related technical role
  • Experience building and supporting enterprise data platforms, data warehouses, or analytics environments
  • Experience developing production data pipelines and integration solutions
  • Experience supporting reporting, business intelligence, and analytics initiatives
  • Experience working with cross-functional teams including software development, analytics, and business stakeholders
  • Experience with healthcare data and HIPAA-regulated environments
  • Preferred: Relevant cloud, data, or analytics certifications
  • Preferred: Experience with interoperability standards (HL7, FHIR)

Physical and sensory demands:

  • This position will require extended periods of sitting, typing, and working on a computer screen.
  • Close vision is required for computer work., Visit our Careers page (https://www.indigenouspact.com/careers) where we encourage you to learn more about the characteristics that are important to us (and we hope you bring them as well) such as Healthcare-focused, growth mindset, self-motivated, collaborative, resilient and adaptable.

Benefits & conditions

  • Indigenous Pact's PTO Policy includes vacation, wellness and 11+ company-paid holidays
  • Competitive benefits including 401(k), Medical, Dental, and Vision insurance
  • Open, transparent lines of communication with leadership
  • Committed to giving back to improving our communities and environmental impact
  • A development-focused environment where you have autonomy to drive your career path

About the company

Why Choose Indigenous Pact? Building a strong culture and exhibiting our core values is important to us. When you join Indigenous Pact, you are joining a team that values: * Empathy is at the heart of everything we do-we listen, we understand, and we put ourselves in the shoes of others, whether it's our teammates, our clients, or the communities we serve. * Wisdom is about learning from experience, being thoughtful in our work and making decisions that are grounded in knowledge and insight. It's about taking the time to get things right. * Bravery is having the courage to take bold risks, challenging the status quo, and knowing that growth happens when we push our limits. * Transformation drives us to continuously grow-both as a company and as people. It's about not being afraid to change and to keep pushing forward in the pursuit of excellence.

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