Data Engineer

Cloud Analytics Technologies, LLC; Maryland; On-site; USD 77,000 - 110,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Data Engineer in Maryland to design, build, and maintain scalable data pipelines and cloud-based solutions. The role focuses on integrating data from multiple sources, improving data quality, and establishing controls for secure data handling.

You will collaborate with data scientists and policy analysts to support reproducible research, develop analytics dashboards, and contribute to decision-support products for education and workforce outcomes.

Qualifications

• Strong data engineering and cloud-based data solutions experience.
• Ability to understand policy-relevant research questions and support reproducible research.
• Experience building scalable data pipelines and data quality controls.
• Collaborate with data scientists and policy analysts on analytics projects.

Responsibilities

• Design, build, and maintain scalable data pipeline architectures.
• Develop cloud-based data solutions using AWS services such as S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB.
• Build and maintain data orchestration workflows using Airflow or similar tools.
• Extract, transform, and process large datasets from multiple sources using SQL and big data tech.
• Develop analytical environments supporting statistical analysis, predictive modeling, and ML.
• Collaborate with data scientists and policy analysts to support reproducible research and modeling.

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Engineer
Location: Maryland
Duration: 12 Months + Extension
Bill Rate: $68/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description:

The ideal candidate will combine strong technical expertise in data engineering, cloud-based data solutions, and analytics with the ability to understand policy-relevant research questions, evaluate data sources, and develop analytical products.

The candidate will be responsible for building and maintaining scalable data pipelines, integrating data from multiple sources, improving data quality, and establishing controls for the responsible use of large, complex, and confidential datasets.

Key Responsibilities

• Design, build, and maintain scalable data pipeline architectures.
• Develop cloud-based data solutions using AWS services such as S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB.
• Build and maintain data orchestration workflows using Apache Airflow, AWS Step Functions, or similar tools.
• Extract, transform, integrate, and process large datasets from multiple sources using SQL and big data technologies.
• Develop analytical data environments supporting statistical analysis, predictive modeling, machine learning, and evidence-based research.
• Collaborate with data scientists, research analysts, and policy analysts to support reproducible research and statistical modeling.
• Build analytics tools, dashboards, reports, analytical models, and decision-support products.
• Support analysis of education and workforce outcomes, operational efficiency, and key business performance metrics.
• Develop and maintain pipeline monitoring, alerting, logging, data quality checks, and validation frameworks.
• Identify and resolve data quality issues through root-cause analysis.
• Automate manual processes and optimize data delivery, infrastructure scalability, and system performance.
• Support data conversions associated with system modernization and replacement initiatives.
• Work with executive, data, design, and support teams to address technical issues and infrastructure requirements.
• Ensure compliance with Commonwealth policies, data governance standards, privacy requirements, security controls, and interagency data-sharing agreements.
• Develop and optimize data tools that support analytics and data science teams.
• Advanced SQL skills and strong experience working with relational databases and various database technologies.
• Experience designing and optimizing big data pipelines, architectures, and datasets.
• Experience developing dashboards, reports, analytical models, and decision-support products for executive and non-technical stakeholders.
• Experience working with student-level higher education data and linking it with external sources, such as employment and wage data, to measure outcomes.
• Strong experience performing root-cause analysis on internal and external data.
• Strong analytical skills and experience working with structured and unstructured datasets.
• Experience with data transformation, data structures, metadata, dependencies, and workload management.
• Proven ability to process, manipulate, and extract insights from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and scalable big data storage technologies.
• Strong project management, organizational, and communication skills.
• Experience collaborating with cross-functional teams in a dynamic environment.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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