Data Engineer at Kforce Inc.

San Jose, CA 95134

About the Job

Kforce has a client that is seeking a Data Engineer in San Jose, CA. Overview: A Data Engineer is responsible for the design, development, and maintenance of the systems and infrastructure that enable efficient and reliable data processing and storage. They focus on building and optimizing data pipelines, data warehouses, and data lakes to support data-driven applications and analytics. Responsibilities include data ingestion, transformation, and integration from various sources into a unified and accessible format. Data Engineers have extensive experience with ETL (Extract, Transform, Load) processes, where they extract data from various systems, transform it to meet specific requirements, and load it into target systems. They work with technologies such as Apache Spark, Apache Kafka, Apache Airflow, or Hadoop for large-scale data processing and orchestration. Data Engineers are proficient in programming languages like Python, Java, or Scala and leverage tools and frameworks like Apache Beam or Talend for ETL operations. They have expertise in data integration and data modeling techniques to ensure data consistency and integrity. Data Engineers also utilize SQL and NoSQL databases for data storage and retrieval. Additionally, Data Engineers collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality. They work with cloud platforms like AWS, Azure, or Google Cloud to leverage managed services such as Amazon Redshift, Google BigQuery, or Azure Data Lake for scalable and efficient ETL processes. Data Engineers also implement data governance practices, data security measures, and monitor and optimize data pipelines for performance and scalability. They stay updated with emerging technologies and trends in the data engineering field to drive efficient and reliable ETL solutions.

Requirements:

Apache Spark
Apache Kafka
Apache Airflow
Hadoop
Apache Beam
Talend
Informatica
SSIS (SQL Server Integration Services)

SQL databases (e.g., MySQL, PostgreSQL, Oracle):

NoSQL databases (e.g., MongoDB, Cassandra, Redis) - Git
SVN

AWS (Amazon Web Services):

Amazon Redshift
AWS Glue
AWS EMR (Elastic MapReduce)
AWS Lambda

Azure:

Azure Data Factory
Azure Databricks
Azure HDInsight

Google Cloud Platform:

Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc - Performance monitoring and optimization tools

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.

Data Engineer at Kforce Inc.

San Jose, CA 95134

About the Job

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