Engineer I, Data Engineering
At a glance
Mid-level Data Engineering role at Sec. 6625 Excellence Way, Plano, TX, USA · no salary stated · we estimate $112,500–$160,000 across the United States.
Sec has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Gather requirements from analysts and stakeholders, then build custom ETL pipelines on cloud platforms
- Ingest data from databases, APIs and files, and create complex SQL transformations in BigQuery
- Improve code and query performance while following GitHub source-control and release practices
- Support production workloads through scheduling, monitoring and ETL data-quality reporting
- Build data models and analysis approaches that preserve data integrity and support business decisions
What you bring
- A relevant bachelor’s degree or foreign equivalent, plus three years of post-degree experience in an engineering or IT role
- Three years using Python for statistical analysis and predictive modeling, and Python and SQL for ETL and data manipulation
- Three years with GitHub, development IDEs such as VS Code, and GCP services including BigQuery, Kubernetes and Composer or Airflow
- Three years designing and measuring A/B or multivariate tests, and analyzing data with visualization tools such as Tableau or another listed tool
- Three years working with Jira, Confluence and big-data production support, including scheduling, monitoring and data-quality reporting
Who this fits
This role suits an engineer with the stated degree and experience who can work across ETL, analytics, testing and production support. Applicants must be able to work without visa sponsorship.
From the employer
Position Summary
Role and Responsibilities
Understand and document scope and requirements through interactions with analysts and stakeholders. Design and develop scalable code based custom ETL pipelines using big data technologies on Cloud platform. Design and develop code to ingest data from a variety of data sources such as Relational databases, APIs and files. Develop Complex SQL transformations on Bigquery. Code and query Optimization. Follow and contribute to engineering best practices for source control using Github, release management, deployment etc. Provide production support, job scheduling/monitoring, ETL data quality, data quality reporting. Contribute to software development and business management by effectively solving business-related software problems through data modeling/analysis/prediction. Establish/support software and infrastructure that continuously grows to strategically analyze big data. Understand and implement software data analysis strategies that meet business strategy. Establish and operate software and infrastructure that can collect/analyze/predict big data (structured/unstructured). Design and operate software structure that can maintain data integrity. Proceed with software data model for business-related decision-making and evaluate data model's consistency. Establish a software security system for data and protect from unauthorized users.
Skills and Qualifications
Bachelor’s degree in Computer Science, Applied Computer Science, Computer Applications, Computer Engineering, Information Technology, a related field, or a foreign equivalent plus 3 years post-baccalaureate experience in job offered or any engineering/IT related job titles.
Applicants must have 3 years of experience in the following: (1) statistical analysis and predictive modeling using Python; (2) ETL development using python and SQL; (3) GitHub, development IDEs including VS code.; (4) data manipulation using SQL; (5) design, execution, and measurement of A/B and multivariate tests; (6) GCP services including Bigquery, Kubernetes and Composer and Apache Airflow; (7) performing data analysis on data visualization dashboards Superset, Jupyterlab, Tableau or PowerBI; (8) software tools including Jira and Confluence; and (9) working in the big data domain including providing production support, job scheduling/monitoring, ETL data quality, and data quality reporting.
No sponsorship available for this position.
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