Data Engineer & Insights Analyst (AWS)

Location: Hybrid - US; remote work-from-home options are also available

Company

hirify.global, established in 2004 and headquartered in Marlborough, Massachusetts, is a technology and professional services firm specializing in innovative technologies and nationwide client technology management.

What you will do

• Design, build, maintain, and optimize cloud-based data pipelines and architectures using AWS services including S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda.
• Develop orchestration workflows, ETL processes, monitoring, alerting, logging, validation, and data quality frameworks.
• Build dashboards, reports, analytical models, and decision-support products for executive and non-technical users.
• Engineer analytical data environments supporting statistical analysis, predictive modeling, machine learning, and evidence-building.
• Partner with data scientists, research and policy analysts, executives, and cross-functional teams on reproducible research, technical issues, and data infrastructure needs.
• Support data conversions related to system modernization or replacement efforts.

Requirements

• 5+ years of relevant experience with cloud-based data services, including AWS services such as S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB.
• 5+ years of proficiency in Python, R, Java, C++, or Scala; relational SQL and NoSQL databases including Oracle, MS SQL Server, Postgres, and Cassandra; and advanced SQL query authoring.
• 5+ years of experience with Git, CI/CD pipelines, data modeling including dimensional modeling, data vault, and star/snowflake schemas, and metadata management tools such as AWS Glue Data Catalog.
• 5+ years of understanding of data governance, data lineage, and data quality frameworks, plus REST API design and integration patterns.
• 5+ years of experience with Hadoop, Spark, Kafka, Azkaban, Luigi, Airflow, Informatica, MuleSoft, Talend, TIBCO, Storm, and Spark Streaming or comparable tools.
• Experience building and optimizing big data pipelines, architectures, and datasets, including data transformation, data structures, metadata, dependencies, and workload management.
• Advanced proficiency designing dashboards, reports, analytical models, and decision-support products for executive and non-technical audiences.
• Experience working with student-level higher-education data, including linking it with employment and wage data to measure outcomes.
• Experience performing root-cause analysis on internal and external data and processes, extracting value from large unstructured or disconnected datasets, and working with message queuing, stream processing, and highly scalable big data stores.
• Self-directed work style, strong analytical judgment, project management and organizational skills, cross-functional collaboration, clear communication, and a continuous-improvement mindset.

Nice to have

• Experience with student-level higher-education data and linkages to employment and wage data.
• Experience supporting data conversions associated with system modernization or replacement efforts.

Culture & Benefits

• Full-time employment with flexible work-from-home options.
• Competitive salary.
• Work supports multiple teams, systems, and products in a dynamic cross-functional environment.