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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data management systems and ELT/ETL pipelines, with strong proficiency in Python, SQL, and Java. Capable of implementing data quality checks and optimizing data for AI/ML applications while ensuring compliance with security standards.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyData Engineering ExperienceCloud Data WarehousingData Quality Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSchema DesignETL PipelinesData IntegrationData Quality ChecksMetadata ManagementData TransformationData Lineage TrackingCloud TechnologiesAPI Strategy
Tools & Technologies
AWS RedshiftSnowflakeApache AirflowAzure Data FactoryAWS GlueSparkDatabricksKafkaGCPMulti-Cloud Ecosystem
Certifications & Qualifications
Bachelor's Degree in Computer ScienceSecurity Clearance (Secret or Higher)
Industry Keywords
Data EngineeringBackend Software EngineeringData IntegrityData SecurityCloud Environments
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureCloudETLGoogle Cloud PlatformJavaKafkaPythonSnowflakeSparkSQL
About the role
Key responsibilities & impact- Design, construct, install, test, and maintain scalable data management systems and ELT/ETL pipelines across cloud and on-premises systems
- Build infrastructure for extracting, transforming, and loading data from diverse sources using cloud technologies
- Support API strategy, data modeling, and domain-driven data structures
- Implement monitoring systems for data integrity, quality, and security across storage and processing layers
- Implement data quality checks, validation, lineage tracking, and metadata management
- Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications
- Identify and implement process improvements, automate manual processes, and optimize data delivery for scalability
- Automate ingestion and transformation processes using industry-standard tools and patterns
- Troubleshoot pipeline issues and optimize performance and cost
- Work with analytics and business teams to understand data requirements and deliver production-ready datasets
- Collaborate with AI engineers and analysts to ensure datasets meet requirements
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Technology, or Data Engineering
- 4+ years of progressive professional experience in a data engineering or backend software engineering role
- Security clearance required (Secret or higher)
- Strong proficiency in Python, SQL, and Java
- Experience with cloud data warehouses such as Snowflake and AWS Redshift
- Familiarity with distributed computing tools like Spark, Databricks, and Kafka
- Experience with Azure Data Factory, AWS Glue, or similar data integration platforms
- Experience with workflow management tools like Apache Airflow
- Hands-on experience with AWS, GCP, or Azure cloud environments
- Familiarity with multi-cloud data ecosystem patterns
- Experience integrating structured and unstructured data sources
- Knowledge of schema design, data modeling, and cloud-based storage patterns
- Selected applicant may be subject to a background investigation and/or education verification
- SMX does not sponsor new applicants for employment authorization or immigration-related support for this position
Benefits
Comp & perks- Health insurance
- Paid leave
- Retirement
- Learning and development opportunities
- Competitive compensation