Senior Analytics Data Engineer, remote | 1045625

OUR GOAL: Treat our consultants and clients the way we would like others to treat us! Interested in joining our team? Check out the opportunity below and apply today! We are seeking a highly skilled Analytics Data Engineer with deep expertise in building scalable data solutions on the AWS platform. The ideal candidate is a 10/10 expert in Python and PySpark, with strong working knowledge of SQL. This engineer will play a critical role in translating business and end-user needs into robust analytics products—spanning ingestion, transformation, curation, and enablement for downstream reporting and visualization. You will work closely with both business stakeholders and IT teams to design, develop, and deploy advanced data pipelines and analytical capabilities that power enterprise decision-making. Key Responsibilities Data Engineering & Pipeline Development • Design, develop, and optimize scalable data ingestion pipelines using Python, PySpark, and AWS native services. • Build end-to-end solutions to move large-scale big data from source systems into AWS environments (e.g., S3, Redshift, DynamoDB, RDS). • Develop and maintain robust data transformation and curation processes to support analytics, dashboards, and business intelligence tools. • Implement best practices for data quality, validation, auditing, and error-handling within pipelines. Analytics Solution Design • Collaborate with business users to understand analytical needs and translate them into technical specifications, data models, and solution architectures. • Build curated datasets optimized for reporting, visualization, machine learning, and self-service analytics. • Contribute to solution design for analytics products leveraging AWS services such as AWS Glue, Lambda, EMR, Athena, Step Functions, Redshift, Kinesis, Lake Formation, etc. Cross-Functional Collaboration • Work with IT and business partners to define requirements, architecture, and KPIs for analytical solutions. • Participate in Daily Scrum meetings, code reviews, and architecture discussions to ensure alignment with enterprise data strategy and coding standards. • Provide mentorship and guidance to junior engineers and analysts as needed. Engineering (Supporting Skills) • Employ strong skills in Python, Pyspark and SQL to support data engineering tasks, broader system integration requirements, and application layer needs. • Implement scripts, utilities, and micro-services as needed to support analytics workloads. Required Qualifications • 5+ years of professional experience in data engineering, analytics engineering, or full-stack data development roles. • Expert-level proficiency (10/10) in: • * Python • PySpark • Strong working knowledge of: • * SQL and other programming languages • Demonstrated experience designing and delivering big-data ingestion and transformation solutions through AWS. • Hands-on experience with AWS services such as Glue, EMR, Lambda, Redshift, S3, Kinesis, CloudFormation, IAM, etc. • Strong understanding of data warehousing, ETL/ELT, distributed computing, and data modeling. • Ability to partner effectively with business stakeholders and translate requirements into technical solutions. • Strong problem-solving skills and the ability to work independently in a fast-paced environment. Preferred Qualifications • Experience with BI/Visualization tools such as Tableau • Experience building CI/CD pipelines for data products (e.g., Jenkins, GitHub Actions). • Familiarity with machine learning workflows or MLOps frameworks. • Knowledge of metadata management, data governance, and data lineage tools. Reference: 1045625 Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Revel IT, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your experience doesn't align perfectly with every qualification in the description, we encourage you to apply anyway. You might be the right candidate for this or our other open roles! Revel IT is an Equal Opportunity Employer. Revel IT does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. #gdr4900 Apply tot his job