Data EngineerinKind • Austin, Texas, USA
Data Engineer
inKind • Austin, Texas, USA
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Bachelors degree (masters preferred) in Computer Science Applied Mathematics Engineering or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable. 5 years professional database development experience preferably as a Data Engineer in a fast-paced environment and complex business setting Expert level knowledge of SQL with focus on writing and optimizing queries Demonstrated experience building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases Experience with data warehousing inclusive of dimensional modeling concepts Proficiency in scripting languages and machine learning Expert problem solving ability and makers mentality; Vast experience designing & architecting new features and solutions from scratch Eagerness to discover innovative ways to work faster and more efficiently while balancing competing concerns (tech debt cost security complexity etc.) Initiative to find and fix bugs before shipping; experience writing good test coverage especially for complex flows; ability to quickly troubleshoot bugs Proactive communication both written and spoken and excellent ability to work well with others in-person and remotely Courage when it comes to raising concerns and asking questions Ability to stay up-to-date with new frameworks and tools to speed up development while keeping a sharp eye out for potential vulnerabilities and edge cases The candidate in this position will be primarily located in an office environment and be exposed to lighting temperature and noise level conditions typical of that environment This position is primarily in-person with an expectation of in-person work at the physical office location in Austin Texas a minimum of three (3) days per week Ability to remain stationary for extended periods of time Ability to move about / traverse office areas Ability to effectively communicate with other employees / team members 100% employer covered health and dental insurance for our direct employees (a set plan is covered with higher tier healthcare coverage available at employees additional cost; dependent coverage is at employees cost); vision plan available at employees additional cost Child Care Benefits and generous parental leave Dog-friendly workspace in a secure building with great views of downtown Austin Daily lunches and snacks
Job Title : Data Engineer
Reports to : Senior Data Engineer
Role Summary :
The Data Engineer is a key member of the development team responsible for building and maintaining optimized and highly available data pipelines. Theyre expected to build data processing frameworks that handle the businesss growing databases while promoting the development of new insights for the business. They are ultimately expected to partner with Development Finance Analytics Marketing Sales Customer Support and leadership in order to leverage data with reporting and scientific tooling. The data engineer is expected to contribute to the continual improvement of the business data platforms through their observations and well-researched knowledge. They should keep track of industry best practices and trends and take initiative on system improvements.
Responsibilities / Essential Functions :
- Responsible for the design deployment and maintenance of the businesss data platforms
- Own architectural processes and decisions for various data models within the organization
- Develop and maintain new data collection systems
- Work cross functionally with various departments including but not limited to : leadership the development team the finance team and the data science team in order to convert data into understandable information for other professionals
- Provide mentorship to team members on database and SQL best practices
- Support data science and machine learning initiatives in multiple frameworks : NLP LLM and linear regression
- Ensure implemented data systems have relevant security
Required Skills / Competencies / Qualifications :
Work En vironment :
Physical Demands :
Some of our Benefits :
Generous PTO and company holiday policy company paid Short Term Disability
Salary :
$135000 - $155000 DOE
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKinds ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race color ancestry religion gender gender identity national origin sexual orientation age marital status disability status veteran status or any other protected category have no bearing on our hiring decisions.
Read our Privacy Policy.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 135000 - 155000
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