K
Senior Data Engineer
Pittsburgh, Pennsylvania, United States of America
Contract
1 day ago
$80 - $85 USD
Key skills
PythonSQLAIDatabricksAzureCI/CD
About this role
RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Engineer on a contract to hire basis in Pittsburgh, PA.
Summary:
The Senior Data Engineer will need to have strong hands-on experience in Azure Databricks, data pipeline development, and modern cloud-based data architecture. This individual will be responsible for developing and supporting scalable data solutions while partnering closely with senior stakeholders and technical teams to understand business needs and translate them into effective data designs.
REQUIREMENTS:
* 3-5+ years of hands-on experience working with Databricks experience is required
* Strong experience building and maintaining complex data pipelines
* Experience in integrating cloud data platforms with APIs and relational data sources
* Experience with CI/CD, DevOps practices, and release automation
* Advanced knowledge of Azure Databricks, including performance tuning and troubleshooting
* Understanding of modern data architecture concepts, including medallion architecture and dimensional modeling
* Familiarity with Databricks tools such as Unity Catalog, Delta Live Tables, and Delta Sharing
* Proficiency with SQL, Python, and PySpark
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Senior Data Engineer on a contract to hire basis in Pittsburgh, PA.
Summary:
The Senior Data Engineer will need to have strong hands-on experience in Azure Databricks, data pipeline development, and modern cloud-based data architecture. This individual will be responsible for developing and supporting scalable data solutions while partnering closely with senior stakeholders and technical teams to understand business needs and translate them into effective data designs.
REQUIREMENTS:
* 3-5+ years of hands-on experience working with Databricks experience is required
* Strong experience building and maintaining complex data pipelines
* Experience in integrating cloud data platforms with APIs and relational data sources
* Experience with CI/CD, DevOps practices, and release automation
* Advanced knowledge of Azure Databricks, including performance tuning and troubleshooting
* Understanding of modern data architecture concepts, including medallion architecture and dimensional modeling
* Familiarity with Databricks tools such as Unity Catalog, Delta Live Tables, and Delta Sharing
* Proficiency with SQL, Python, and PySpark
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.