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Data Engineer (Middle)

AgileEngine
Houston, TX Full Time
POSTED ON 3/26/2025
AVAILABLE BEFORE 4/14/2025

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15 industries change the lives of millions

If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed! : )

What you will do

  • Work collaboratively with other engineers, architects, data scientists, analytics teams, and business product owners in an agile environment;
  • Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools;
  • Design and build robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data;
  • Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications;
  • Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities;
  • Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Must haves

  • 4 years of experience with Python or Java (Python preferably, or willingness to work with this language);
  • 4 years of experience in building data lake, cloud data platform leveraging cloud (GCP / AWS) cloud native architecture, ETL / ELT, and data integration ;
  • Three years of development experience with cloud services ( AWS,GCP,AZURE) utilizing various support tools (e.g. GCS, Dataproc, Cloud Data flow, Airflow(Composer), Kafka , Cloud Pub / Sub);
  • Expertise in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink);
  • Experience with Snowflake is a must;
  • In-depth knowledge of NoSQL database technologies (e.g. MongoDB, BigTable, DynamoDB);
  • Expertise in build and deployment tools - (Visual Studio, PyCharm, Git / Bitbucket / Bamboo, Maven, Jenkins, Nexus);
  • 4 years of experience and expertise in database design techniques and philosophies (e.g. RDBMS, Document, Star Schema, Kimball Model);
  • 4 years of experience with integration and service frameworks (e.g API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices);
  • Expertise with containerized Microservices and REST / GraphQL based API development;
  • Experience leveraging continuous integration / development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a Ci / CD pipeline;
  • Advanced understanding of software development and research tools;
  • Attention to detail and results oriented, with a strong customer focus;
  • Ability to work as part of a team and independently;
  • Analytical and problem-solving skills;
  • Problem-solving and technical communication skills;
  • Ability to prioritize workload to meet tight deadlines;
  • Should have working experience with wealth asset management projects;
  • Upper-intermediate English level.

    • Nice to haves

  • Airflow;
  • Big Query;
  • Kafka.

    • The benefits of joining us

  • Professional growth

    • Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

  • Competitive compensation

    • We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

  • A selection of exciting projects

    • Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

  • Flextime

    • Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.

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