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    Full Stack Data Engineer - Philadelphia, United States - rockITdata

    rockITdata
    rockITdata Philadelphia, United States

    2 days ago

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    Description

    Job Description

    Job DescriptionrockITdata, a veteran, minority, and woman-owned small business certified by the NWBOC, is a full-service consulting provider that specializes in providing management and IT services. We help companies build efficiencies, decrease cost, and drive better outcomes. We achieve these goals by leveraging industry leading cloud based artificial intelligence and machine learning technologies.

    We bring four distinct offerings to Commercial; Federal; and State, Local, and Education clients.
    • Consulting Services: Our strategy, management, and IT advisors bring deep industry and domain expertise to help clients empower their workforce and build improvement capable organizations.
    • Application Development and Sustainment: our technologists define, design, prototype, and continuously improve digital solutions to meet clients' needs and enhance customer experience.
    • Mission Support: We provide high-quality staffing solutions to help our clients meet their mission, reduce operating costs, and improve operations.
    • Contact Center Solutions: Fueled by cloud based artificial intelligence and machine learning, we implement next generation contact center solutions, purpose built for each client. Our contact center solutions range from current state assessments, roadmap development, technology implementation and sustainment, and full outsourced operations.
    We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with expertise in building end-to-end data solutions. This role offers an exciting opportunity to work on diverse data projects and contribute to the development of innovative data-driven applications. This is a Remote position.

    Key Responsibilities
    • Data Ingestion and Integration:
      • Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.
      • Integrate data from different systems and platforms to create unified datasets for analysis and reporting.
    • Data Storage and Management:
      • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases.
      • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness.
    • Data Processing and Transformation:
      • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats.
      • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
    • Data Modeling and Optimization:
      • Design and implement data models to support analytical and reporting requirements.
      • Optimize data models for query performance, data integrity, and storage efficiency.
    • Software Development and Integration:
      • Build software applications and APIs to expose data services and functionality to other systems and applications.
      • Integrate data engineering workflows with existing software systems and platforms.
    • Monitoring and Maintenance:
      • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems.
      • Conduct regular maintenance activities to ensure the reliability, availability, and scalability of data infrastructure.
    • Documentation and Collaboration:
      • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration.
      • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.
    Required Qualifications
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
    • Strong understanding of database concepts, data modeling techniques, and SQL programming.
    • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions.
    • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
    • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).
    Preferred Qualifications
    • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
    • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
    • Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams).
    • Familiarity with data governance and security practices for protecting sensitive data.
    • Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
    • Excellent communication skills and the ability to collaborate effectively in a team environment.
    #LIREMOTE


    Here at rockITdata, we are committed to following our 10 Guiding Principles.
    Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.

    Know the Why.

    Value People Above All Else.

    Transparency to a Fault.

    Progress, Not Perfection.

    Be Good by Doing Good.

    Smart People Can Disagree.

    Bend but Don't Break.

    Represent Your Brand.

    Think Differently.

    Be Amazing, Be Fearless, Smile, Have Fun

    Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization


    rockITdata is an equal opportunity/affirmative action employer and is committed to equal employment opportunities in all employment practices and decisions including recruitment, hiring, placement, promotion, training, transfer, leaves of absence, compensation, disciplinary action, and termination, with regard to the terms and conditions of employment. rockITdata does not discriminate on the basis of race (actual or perceived), ancestry, citizenship, religion, color, creed, sex (including pregnancy, lactation, childbirth and other pregnancy-related conditions), national origin, age, marital status (including parenthood), military service and veteran status, physical or mental disability, genetic information or refusal to submit to a genetic test or to make available genetic test results, arrest and conviction records, matriculation or political affiliation, sexual orientation, gender identity or expression (including transgender status), or any characteristic protected by Federal, state, or local law.


    rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at

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