Data Engineer

TL;DR

Data Engineer: Utilizing analytical skills, hands-on data modeling, and pipeline development skills for diverse tech and a variety of tools with an accent on data modeling and pipeline development skills. Focus on adapting and collaborating on various projects.

Location: Must be based in Austin, Texas and work with a hybrid work schedule that includes required in-office days.

Salary: $100,000-$135,000

Company

hirify.global, Inc. looking to add a Data Engineer with strong communication and client skills to our team.

What you will do

• Engage with and be passionate about the technologies being used.
• Learn quickly and collaborate effectively.
• Balance client needs with expertise and experience.
• Utilize analytical skills, hands-on data modeling, and pipeline development skills.

Requirements

• 4-6 years of hands-on data modeling and data engineering experience.
• Strong expertise in dimensional modeling and data warehousing.
• Database design and development experience with relational or MPP databases such as Postgres/ Oracle/ Teradata/ Vertica.
• Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang).
• Proficiency in advanced SQL and performance tuning.
• Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc.
• Experience with Java, Scala and Python.
• Experience with cloud computing platforms like AWS, Google Cloud.
• Experience working with APIs.
• Analytical and mathematical mind, capable of evaluating and solving various complex problems.
• Excellent oral and written communication skills.
• Familiarity with version control systems, CI/CD practices, testing, and migration tools for database and software.

Nice to have

• Experience with real time data processing using Apache Kafka or Spark Streaming.

Culture & Benefits

• Competitive compensation.
• Retirement plan with employer matching.
• Excellent healthcare package with vision and dental.
• Support for productivity and continued learning in the forms of hardware, software, learning materials, training, and conferences.