Expert Software Engineer, Data Platform

Alegeus Technologies, LLC.
3 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
API
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Computer Programming
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Distributed Computing Environment
Distributed Systems
Fault Tolerance
Python
Performance Tuning
Software Engineering
Data Streaming
Systems Integration
Web Services
Azure
Parquet
Data Logging
Data Storage Technologies
Spark
Core Api
Backend
Event Driven Architecture
Build Management
Containerization
Data Lake
PySpark
Kubernetes
Avro
Data Analytics
Real Time Data
Kafka
Build Tools
Spark Streaming
Data Management
Api Design
REST
Data Pipelines
Microservices

Job description

We are looking for an Expert Software Engineer to design, build, and scale our next-generation Data Platform and Data-Driven APIs. This role combines distributed data processing (Apache Spark) with platform and microservices engineering (Java) to enable reliable, scalable, and real-time data access.

You will operate at the intersection of data engineering and backend platform engineering-building systems that not only process large volumes of data but also expose that data through robust, well-designed APIs and services.

This role goes beyond implementing requirements. We expect engineers to understand business context, challenge assumptions, and take end-to-end ownership of delivering meaningful outcomes., Data Platform Engineering

  • Design and develop scalable data pipelines using Apache Spark (batch and streaming)

  • Build and maintain data platform layers: ingestion, transformation, and serving

  • Optimize Spark jobs for performance, cost, and reliability (partitioning, skew handling, memory tuning)

  • Implement data quality, observability, and lineage frameworks

  • Contribute to data architecture decisions (Lakehouse, data mesh, storage formats, partition strategies)

  • Define and enforce data contracts and schema evolution practices

Platform APIs & Backend Engineering

  • Design and build data-driven platform APIs using Java (preferred)

  • Develop microservices that expose curated datasets for product and partner consumption

  • Implement RESTful APIs and event-driven services for real-time and near real-time data access

  • Ensure low-latency, high-availability data serving layers

  • Integrate with upstream/downstream systems, including legacy APIs where required

Cloud & Platform Integration

  • Build and deploy solutions on Azure (preferred) / AWS / GCP, * Implement end-to-end observability (metrics, logging, tracing) across pipelines and APIs, * Mentor engineers on distributed systems, Spark optimization, and API design

  • Promote best practices in data engineering, microservices, and software craftsmanship

  • Contribute to platform vision and long-term architectural evolution, A successful engineer in this role will:

  • Deliver high-quality, production-grade data pipelines and APIs that power real business outcomes

  • Build systems that are scalable, observable, and resilient underload

  • Take ownership end-to-end, ensuring data flows reliably from source to consumer

  • Balance data correctness, performance, and cost efficiency

  • Contribute to evolving a modern data platform integrated with product-facing services

Why join us

You will work on foundational platform problems at scale, where data correctness, performance, and availability directly impact financial and healthcare outcomes. This role offers the opportunity to shape both data infrastructure and the APIs that bring it to life, in a system undergoing significant modernization.

Requirements

  • 8+ years of software engineering experience with strong focus on data platforms and/or distributed systems

  • Hands-on expertise in Apache Spark or Scala or PySpark

  • Strong programming skills in Java (preferred) / Scala / Python

  • Experience building large-scale data pipelines (ETL/ELT)

  • Experience developing backend services or APIs (REST/microservices)

  • Deep understanding of:

  • Distributed systems (partitioning, shuffle, fault tolerance)

  • Data storage formats (Parquet, ORC, Avro)

  • Data modeling and schema evolution

  • Experience with cloud platforms (Azure/AWS/GCP)

  • Familiarity with workflow orchestration tools (Airflow, Dagster, etc.)

  • Strong system design and performance optimization skills

Preferred qualifications

  • Experience with Spark Structured Streaming

  • Exposure to Lakehouse architectures (Delta Lake, Iceberg, Hudi)

  • Experience with event-driven architectures (Kafka, Event Hubs)

  • Knowledge of data governance, catalog, and lineage tools

  • Experience with CI/CD for data and microservices

  • Familiarity with Kubernetes and containerized workloads

  • Experience designing low-latency data serving APIs

Benefits & conditions

  • A flexible work environment

  • Competitive salaries, paid vacation, and holidays

  • Robust professional development programs

  • Comprehensive health, wellness, and financial packages

About the company

Do you want to shape the future of fintech and healthtech? Energized by challenges and inspired by bold goals? Ready to elevate your career alongside driven and talented colleagues? If that sounds like you, explore a career at Alegeus today. Opportunity Happens Here., Alegeus is the market leader in consumer-directed healthcare (CDH) solutions, powering millions of consumer benefit accounts including FSAs, HSAs, HRAs, dependent care and wellness programs through a modern SaaS and payments platform., At Alegeus, our success is guided by our aligned vision and values-it is how we work together and collaborate to achieve our goals. * People First. We pride ourselves in bringing talented people together and treating one another with care. * Partner Powered. We are committed to empowering our partners, knowing our success is shared and we win as one. * Always Advancing. We are driven by potential and relentlessly determined to achieve our goals. "I truly believe that people who are well-skilled and talented can go wherever they want in this company. We want to create the best place anyone has ever worked." - Alegeus employee, At Alegeus, being transparent about our compensation philosophy and approach is more than just a legal requirement. As our organization continues to grow and evolve, we have made a commitment to ensure that our compensation framework is equitable, data-driven, consistent, and unbiased, with allowable pay differences based on factors unique to each candidate (think: skills, experience, qualifications, etc.) in order to attract and retain a highly talented and committed workforce.

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