146 Data Engineer Jobs in Austin, TX
SADA, An Insight company is Hiring a Data Engineer Near Austin, TX
You will be recognized as an established contributor by your team. You will contribute design and implementation components for multiple projects. You will work mostly independently with limited oversight. You will also participate in client-facing discussions in areas of expertise.
Responsibilities:
- Solve complex problems building advanced software systems, while processing several petabytes of data
- Adapt quickly to utilize software engineering best practices
- Demonstrate the ability to deliver quality software collaboratively
- Designing, implementing, and running big data pipelines that canvas over petabytes of data
- Collaborate with your team of engineers, project managers and solutions architecture to build new products and features for our clients.
- Learn functional programming
- Ensure that the software you create is testable and tested
- Actively participate in the architecture, design, and implementation discussions
- Actively participate in planning, execution, and success of complex technical projects
Your success starts by positively impacting the direction of a fast growing practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.
As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.
ExpectationsRequired Travel - Up to 30% travel to customer sites, conferences, and other related events.
Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.
Training - Ongoing with first week orientation at HQ followed by a 90 day onboarding schedule. Details of timeline can be shared.
Job RequirementsRequired Credentials:
- Google Professional Data Engineer Certified or able to complete within the first 45 days of employment
- Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
- Data warehouse modernization: building complete data warehouse solutions, including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines and reporting/analytic tools. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive).
- Data migration: migrating data stores to reliable and scalable cloud-based stores, including strategies for minimizing downtime. May involve conversion between relational and NoSQL data stores, or vice versa.
- Backup, restore & disaster recovery: building production-grade data backup and restore, and disaster recovery solutions. Up to petabytes in scale.
- Experience writing software in one or more languages such as Python, Java, Scala, or Go
- Experience building production-grade data solutions (relational and NoSQL)
- Experience with systems monitoring/alerting, capacity planning and performance tuning
- Experience in technical consulting or other customer facing role
- Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)
- Experience with IoT architectures and building real-time data streaming pipelines
- Applied experience operationalizing machine learning models on large datasets
- Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs
- Demonstrated leadership and self-direction -- the willingness to teach others and learn new techniques
- Demonstrated skills in selecting the right statistical tools given a data analysis problem
- Make Them Rave
- Be Data Driven
- Think One Step Ahead
- Drive Purposeful Impact
- Do The Right Thing
Benefits: Unlimited PTO, paid parental leave, competitive and attractive compensation, performance-based bonuses, paid holidays, generous medical, dental, vision plans, life, short and long-term disability insurance, 401K/RRSP with match, as well as Google-certified training programs and a professional development stipend.
Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the last 10 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200 projects completed, 4000 customers served, 10K workloads, and 30M users migrated to the cloud.To request reasonable accommodation to participate in the job application or interview process, contact careers@sada.com. SADA complies with federal and state/provincial disability laws and makes reasonable accommodations for applicants and candidates with disabilities.
Job Summary
Full Time
$120k-147k (estimate)
07/23/2024
09/16/2024
The job skills required for Data Engineer include Python, Big Data, Data Warehouse, Insight, Java, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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The data engineer develops and maintains the enterprise data framework for continued use.
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