Capgemini
Senior Data Engineer - Real Time Data Processing
Capgemini, Atlanta, Georgia, United States, 30383
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Role Summary: As a Senior Software Engineer, you'll design and deliver real‑time data pipelines and event‑driven microservices. You'll implement resilient streaming patterns, contribute to data governance and CI/CD automation, and collaborate closely with platform and product teams to scale our data services.
Responsibilities:
Build reliable streaming applications using Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry.
Develop ETL/ELT pipelines for real‑time ingestion, transformation, and distribution; implement windowing, joins, and stateful processing.
Implement distributed caching and in‑memory data grid integrations to reduce latency and improve throughput.
Contribute to event gateway / event grid routing, schemas, topic design, ACLs, and dead‑letter strategies.
Write clean, testable code for microservices (Java/Python), focusing on reliability, idempotency, and observability.
Automate CI/CD pipelines, containerization (Docker), and deployments to Kubernetes.
Participate in data governance: tagging, metadata updates, lineage capture, schema evolution, and data quality checks.
Monitor production systems, perform performance tuning, troubleshoot back‑pressure/lag, and improve SLO attainment.
Collaborate on design docs, code reviews, and cross‑team integrations.
Required Qualifications:
7+ years in software engineering, with 3+ years focused on real‑time streaming or event‑driven systems.
Strong hands‑on experience with Kafka (topics, partitions, consumer groups), Schema Registry, Kafka Connect, and either Flink or Kafka Streams or Hazelcast.
Solid understanding of ETL/ELT concepts, event time vs. processing time, checkpointing, state management, and exactly once/at least once semantics.
Proficiency with microservices (Java /Python), APIs (REST/gRPC), Avro/JSON/protobuf, and contract testing.
Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions/Azure DevOps/Jenkins or similar).
Familiarity with distributed caching (Redis, Hazelcast) and in‑memory data grids.
Cloud experience in at least one cloud platform (Azure/AWS/GCP).
Knowledge of observability (metrics, logs, traces) and resilience (retries, timeouts, DLQs, circuit breakers).
Exposure to data governance, metadata catalogs, and lineage tooling; schema evolution and compatibility (backward/forward/full).
Core competencies: Problem Solving, Ownership, Code Quality, Operational Mindset, Collaboration, Continuous Improvement.
Nice to Have:
CDC pipelines, Flink SQL, custom Kafka Connect connectors.
Experience with feature flags, canary releases, and progressive delivery.
Performance tuning: batch sizes, compression, serialization choices (Avro vs. Protobuf), and partitioning strategies.
Life at Capgemini: Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized back‑up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Salary Information: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110000 to $115000/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Equal Opportunity Employer Statement: Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Accommodations Statement: This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Role Summary: As a Senior Software Engineer, you'll design and deliver real‑time data pipelines and event‑driven microservices. You'll implement resilient streaming patterns, contribute to data governance and CI/CD automation, and collaborate closely with platform and product teams to scale our data services.
Responsibilities:
Build reliable streaming applications using Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry.
Develop ETL/ELT pipelines for real‑time ingestion, transformation, and distribution; implement windowing, joins, and stateful processing.
Implement distributed caching and in‑memory data grid integrations to reduce latency and improve throughput.
Contribute to event gateway / event grid routing, schemas, topic design, ACLs, and dead‑letter strategies.
Write clean, testable code for microservices (Java/Python), focusing on reliability, idempotency, and observability.
Automate CI/CD pipelines, containerization (Docker), and deployments to Kubernetes.
Participate in data governance: tagging, metadata updates, lineage capture, schema evolution, and data quality checks.
Monitor production systems, perform performance tuning, troubleshoot back‑pressure/lag, and improve SLO attainment.
Collaborate on design docs, code reviews, and cross‑team integrations.
Required Qualifications:
7+ years in software engineering, with 3+ years focused on real‑time streaming or event‑driven systems.
Strong hands‑on experience with Kafka (topics, partitions, consumer groups), Schema Registry, Kafka Connect, and either Flink or Kafka Streams or Hazelcast.
Solid understanding of ETL/ELT concepts, event time vs. processing time, checkpointing, state management, and exactly once/at least once semantics.
Proficiency with microservices (Java /Python), APIs (REST/gRPC), Avro/JSON/protobuf, and contract testing.
Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions/Azure DevOps/Jenkins or similar).
Familiarity with distributed caching (Redis, Hazelcast) and in‑memory data grids.
Cloud experience in at least one cloud platform (Azure/AWS/GCP).
Knowledge of observability (metrics, logs, traces) and resilience (retries, timeouts, DLQs, circuit breakers).
Exposure to data governance, metadata catalogs, and lineage tooling; schema evolution and compatibility (backward/forward/full).
Core competencies: Problem Solving, Ownership, Code Quality, Operational Mindset, Collaboration, Continuous Improvement.
Nice to Have:
CDC pipelines, Flink SQL, custom Kafka Connect connectors.
Experience with feature flags, canary releases, and progressive delivery.
Performance tuning: batch sizes, compression, serialization choices (Avro vs. Protobuf), and partitioning strategies.
Life at Capgemini: Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized back‑up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Salary Information: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110000 to $115000/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Equal Opportunity Employer Statement: Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Accommodations Statement: This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
#J-18808-Ljbffr