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What you'll do...
Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
What you'll bring:
Master's degree in Computer Science or related field and 3 years' experience in software engineering and Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field OR 6 years' experience in software engineering or related field.
Experience in technologies like Spark, Scala, Kafka, and Hadoop.
Experience with Airflow/Nifi, Kafka streams, Druid or similar technologies.
Experience of architecture, tools, and deployments in the hyper-scalers like GCP/Azure/AWS.
Experience in Java, data streaming and API.
Experience with data engineering to stream and process datasets at low latencies.
Experience in operationalizing automated CI/CD pipelines of ML Models.
Experience of architecture, tools, and deployments in the hyper-scalers like GCP/Azure/AWS.
Experience with data engineering to stream and process datasets at low latencies.
Experience in operationalizing automated CI/CD pipelines of ML Models.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications...These jobs might be a good fit