FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Data Engineer
SR International Incorporation. Design, build, and maintain scalable data pipeline architectures .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipeline architectures using AWS services, SQL, and big data technologies. Proficient in data governance, quality frameworks, and collaboration with cross-functional teams to support data-driven decision-making.
Highest-signal resume keywords
AWS Cloud ServicesData Pipeline ArchitectureSQL and NoSQL DatabasesData Governance and QualityApache Airflow
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS S3AWS GlueAWS RedshiftPythonSQLData ModelingREST APIsHadoopSparkGit
Soft Skills
Analytical SkillsProblem-SolvingProject ManagementOrganizational Skills
Tools & Technologies
Apache AirflowInformaticaMuleSoftTalendTIBCO
Industry Keywords
Data GovernanceData QualityData CatalogingPredictive ModelingMachine Learning
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSCassandraCloudDynamoDBEC2HadoopInformaticaJavaKafkaNoSQLOraclePostgresPythonScalaSnowflakeSparkSQLVaultC++
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipeline architectures
- Develop cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda
- Build and maintain data orchestration workflows using Apache Airflow, AWS Step Functions, or similar tools
- Extract, transform, integrate, and load data from multiple sources using SQL and big data technologies
- Develop and optimize data environments supporting statistical analysis, predictive modeling, machine learning, and research
- Collaborate with data scientists, research analysts, and policy analysts to support reproducible research and data-driven decision-making
- Identify and resolve data quality issues through validation, monitoring, and root-cause analysis
- Automate manual processes and improve data delivery, infrastructure scalability, and operational efficiency
- Develop dashboards, reports, analytical models, and decision-support tools
- Build monitoring, alerting, and logging frameworks for data pipelines
- Support data conversions associated with system modernization and replacement projects
- Ensure compliance with data governance, privacy, security, and Commonwealth policies
- Collaborate with executive, data, design, and support teams to address technical issues and improve data systems
- Support the Pennsylvania Longitudinal Data System (PALDS) for the Commonwealth of Pennsylvania
Requirements
What you’ll need- 5+ years of hands-on experience with AWS cloud services, including S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB
- 5+ years of programming/scripting experience with Python, R, Java, C++, or Scala
- 5+ years of experience with SQL and relational/NoSQL databases, including Oracle, SQL Server, PostgreSQL, and Cassandra
- 5+ years of experience with Git, version control, and CI/CD pipelines
- Strong knowledge of data modeling, including dimensional modeling, Data Vault, and star/snowflake schemas
- Experience with AWS Glue Data Catalog, metadata management, and data cataloging
- Understanding of data governance, data lineage, and data quality frameworks
- Experience designing and integrating REST APIs
- Hands-on experience with Hadoop, Spark, and Kafka
- Experience with Apache Airflow, Azkaban, or Luigi
- Experience with Informatica, MuleSoft, Talend, or TIBCO
- Experience with Storm or Spark Streaming
- Advanced SQL knowledge and experience working with large, complex datasets
- Strong analytical, problem-solving, project management, and organizational skills
- Experience supporting cross-functional teams in a dynamic environment
- Ability to work with large, complex, and confidential datasets
- Work authorization in the USA / visa status information required
- Availability for a second-round in-person interview in Harrisburg, Pennsylvania for finalists
Benefits
Comp & perks- Remote work arrangement
- Work hours Monday–Friday, 8:00 AM–4:30 PM
- Text updates about application available
- Message and data rates may apply; option to opt out of text messages