Staff Engineer

Jobtailor; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in Austin, TX is seeking a Staff Engineer to own data platform initiatives, including master data, metadata and data models, and to drive scalable data pipelines.

You will assemble large datasets, optimize data delivery, and deliver insights on business metrics. The role requires strong Python/Java/C++ background and experience with Hadoop, Spark, Kafka, and SQL/NoSQL databases.

Qualifications

• Bachelor's degree or Master's with required experience as listed; five years for Bachelor's, three for Master's.
• Three years of experience with object-oriented and functional languages including Python, Java, C++, and Scala.
• Two years of experience with Big Data tools including Hadoop, Spark, and Kafka.
• Two years of experience with SQL and NoSQL databases such as Postgres and Cassandra.
• Two years of experience with stream-processing systems including Storm and Spark-Streaming.
• Must be able to report to the local office.
• Applicants may be required to complete role-related assessments and/or pre-employment screening.

Responsibilities

• Communicate and maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards
• Assemble large, complex data sets meeting functional and non-functional business requirements
• Identify, design, and implement internal process improvements
• Automate manual processes and optimize data delivery
• Redesign infrastructure for greater scalability
• Build industrialized analytic datasets and delivery mechanisms using the data pipeline
• Deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Skills

Python

Java

C++

Scala

Hadoop

Spark

Kafka

Postgres

Cassandra

Storm

Education

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field

Master's degree in one of these fields

Tools

Data Pipeline

Data Standards

Logical Data Models

Data Management Repositories

Job description

• Communicate and maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards


• Assemble large, complex data sets meeting functional and non-functional business requirements


• Identify, design, and implement internal process improvements


• Automate manual processes and optimize data delivery


• Redesign infrastructure for greater scalability


• Build industrialized analytic datasets and delivery mechanisms using the data pipeline


• Deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field and five (5) years of experience as a Staff Engineer, Software Engineer, Software Developer, or related occupation; OR Master's degree in one of these fields and three (3) years of relevant experience


• Three (3) years of experience with object-oriented and object function scripting languages, including Python, Java, C++, and Scala


• Two (2) years of experience with Big Data tools including Hadoop, Spark, and Kafka


• Two (2) years of experience with advanced SQL and NoSQL databases, including Postgres and Cassandra


• Two (2) years of experience with stream-processing systems including Storm and Spark-Streaming


• Must be able to report to the local office


• Applicants may be required to complete role-related assessments and/or pre-employment screening

Core Competencies

Demonstrates expertise in Data Management, including Master Data and Metadata maintenance, while leveraging advanced programming skills in Python, Java, and C++. Proficient in utilizing Big Data tools and databases to deliver actionable insights and optimize data processes.

Highest-signal resume keywords

• Data Management


• Object-Oriented Programming


• Big Data Tools


• Advanced SQL


• Stream-Processing Systems

Hard Skills

• Python


• Java


• C++


• Scala


• Hadoop


• Spark


• Kafka


• Postgres


• Cassandra


• Storm

Industry Keywords

• Master Data


• Metadata


• Data Delivery


• Operational Efficiency


• Customer Acquisition

Tools & Technologies

• Data Pipeline


• Data Standards


• Logical Data Models


• Data Management Repositories