What success looks like in this role:
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and data processing pipelines. The ideal candidate will have strong expertise in Python, PySpark, AWS, DynamoDB, and OpenSearch, along with exposure to Java. This role requires hands-on experience building cloud-native big data solutions, optimizing large-scale data processing workloads, and enabling data-driven decision-making across the organization.
Key Responsibilities
- Design, develop, and maintain large-scale data pipelines using Python and PySpark.
- Build and optimize batch and near real-time data processing solutions.
- Design scalable data architectures on AWS.
- Develop ETL/ELT workflows for ingesting, transforming, and publishing datasets.
- Work with structured and semi-structured data from multiple sources.
- Design and maintain NoSQL database solutions using DynamoDB.
- Implement search and analytics solutions using OpenSearch.
- Optimize data processing jobs for performance, scalability, and cost efficiency.
- Collaborate with product teams, architects, and software engineers to define data requirements.
- Monitor, troubleshoot, and resolve data platform and pipeline issues.
- Implement data quality, governance, security, and observability best practices.
- Participate in code reviews and mentor junior engineers.
Required Technical Skills
Data Engineering
- Strong expertise in Python.
- Extensive experience with PySpark and distributed data processing.
- Hands-on experience building data lakes and modern data platforms.
- Strong understanding of ETL/ELT frameworks and data modeling.
- Experience processing large datasets efficiently.
AWS Cloud
Expert-level knowledge of AWS services such as:
- EMR
- Glue
- Lambda
- S3
- Athena
- Redshift
- ECS/EKS
- Step Functions
- EventBridge
- IAM
- CloudWatch
- SNS/SQS
Databases
- Strong SQL skills and query optimization experience.
- Experience with NoSQL databases, particularly DynamoDB.
- Understanding of partitioning, indexing, and data access patterns.
Search & Analytics
- Hands-on experience with OpenSearch / Elasticsearch.
- Experience designing indexes and search schemas.
- Knowledge of query optimization and search performance tuning.
- Experience implementing analytics and monitoring dashboards.
Programming
- Strong Python development skills.
- Working knowledge of Java.
- Understanding of object-oriented programming and software engineering best practices.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in Data Engineering.
- Experience with streaming platforms such as Kafka or Kinesis.
- Experience with Airflow or other workflow orchestration tools.
- Experience with Docker and Kubernetes.
- Exposure to Data Lake and Lakehouse architecture.
- Experience in Agile/Scrum development environments.
Good to Have
- Apache Kafka
- Apache Airflow
- Terraform
- Databricks
- Delta Lake
- Snowflake
- CI/CD pipelines
- Machine Learning data pipelines
Key Competencies
- Strong problem-solving and analytical skills.
- Ability to work in a fast-paced, cloud-native environment.
- Excellent communication and stakeholder management skills.
- Strong ownership and accountability mindset.
- Ability to mentor and guide team members.
#LI-MI1
You will be successful in this role if you have:
BA/BS degree and 8-10 years’ relevant experience OR equivalent combination of education and experience
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
Skills Required
- Strong expertise in Python
- Extensive experience with PySpark and distributed data processing
- Experience building data lakes and modern data platforms
- Strong understanding of ETL/ELT frameworks and data modeling
- Experience processing large datasets efficiently
- Expert-level knowledge of AWS services, including EMR, Glue, Lambda, S3, Athena, Redshift, ECS/EKS, Step Functions, EventBridge, IAM, CloudWatch, SNS, and SQS
- Strong SQL skills and query optimization experience
- Experience with NoSQL databases, particularly DynamoDB
- Understanding of partitioning, indexing, and data access patterns
- Hands-on experience with OpenSearch or Elasticsearch
- Experience designing indexes and search schemas
- Knowledge of query optimization and search performance tuning
- Experience implementing analytics and monitoring dashboards
- Working knowledge of Java
- Understanding of object-oriented programming and software engineering best practices
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8+ years of experience in Data Engineering
- BA/BS degree and 8-10 years of relevant experience, or equivalent combination of education and experience
- Experience with streaming platforms such as Kafka or Kinesis
- Experience with Airflow or other workflow orchestration tools
- Experience with Docker and Kubernetes
- Exposure to data lake and lakehouse architecture
- Experience in Agile/Scrum development environments
- Experience with Terraform, Databricks, Delta Lake, Snowflake, CI/CD pipelines, or machine learning data pipelines
Unisys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
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Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
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Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.
Unisys Insights
What We Do
Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial
