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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in backend software engineering, focusing on designing and maintaining high-performance systems that handle large volumes of data. Proficient in event-driven architecture and API-based integrations, with strong problem-solving abilities and effective communication skills.
Highest-signal resume keywords
Backend Software EngineeringEvent-Driven ArchitectureAPI-Based IntegrationsPython and/or PySparkComplex, Real-Time Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend SystemsAlgorithmsData StructuresBig O NotationPerformance OptimizationDockerSQLNoSQL DatabasesSparkApache Ecosystem Tools
Soft Skills
Problem-SolvingCollaborative Working StyleCommunication Skills
Tools & Technologies
AWSGCPDelta LakeParquetKafkaAvroPandasSpring FrameworkMicroservices
Industry Keywords
High-Throughput SystemsLow-Latency SystemsLarge-Scale DataAnalytics Environments
Tech Stack
Tools & technologiesApacheAWSCloudDockerGoogle Cloud PlatformKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL
About the role
Key responsibilities & impact- Design, implement, scale, and maintain backend systems that process large volumes of data
- Work on event-driven and API-based integrations
- Contribute to migration efforts toward a more domain-based and scalable architecture
- Build and optimize software for performance-sensitive workflows
- Investigate technical problems and propose solutions with the team
- Collaborate closely with data science and engineering colleagues on technical solutions
- Influence junior and mid-level engineers for approximately 20% of the time
- Focus on complex technical problems for approximately 80% of the time
- Work independently with no supervision while ensuring timely, high-quality delivery
- Communicate and work closely across the Outcomes, Methodology, and Recruitment teams and with product and data science
Requirements
What you’ll need- 10+ years of backend software engineering experience
- Strong technical depth
- Experience with backend systems processing large volumes of data
- Experience with event-driven and API-based integrations
- Experience with complex, real-time, high-volume systems with high-throughput and low-latency
- Familiarity with Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro
- Experience with Python and/or PySpark
- Experience with Docker, SQL, and NoSQL databases
- Experience with REST APIs and event-driven integrations
- Strong understanding of algorithms, data structures, Big O notation, and event-driven architecture
- Comfortable working in performance-oriented, production-critical environments
- Strong problem-solving skills and proactive, collaborative working style
- Ability to communicate well with engineers and data science partners
- Academic background in computer science, computer engineering, or a related field preferred
- Experience with AWS, GCP, or other cloud providers preferred as a nice-to-have
- Experience with Pandas preferred as a nice-to-have
- Experience with Spring framework and microservices preferred as a nice-to-have
- Experience working in large-scale data or analytics environments preferred as a nice-to-have
Benefits
Comp & perks- Remote work
- Autonomy and freedom to innovate
- Collaborative development model
- Employee growth opportunities
- Diversity, equity and inclusion
- Culture of trust, respect, and employee growth