Data Engineer @ SonderMind | Jobright.ai
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SonderMind · 5 hours ago

Data Engineer

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Responsibilities

Strategically design, construct, install, test, and maintain highly scalable data management systems that include distributed databases, data warehouses, and cloud storage, etc.
Develop and maintain databases, data processing procedures, and pipelines
Integrate new data management technologies and software engineering tools into existing structures
Develop and implement processes for data mining, data modeling, and data production
Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
Create custom software components and analytics applications in Python and SQL
Troubleshoot data-related issues and perform root cause analysis to resolve them
Manage overall pipeline orchestration
Optimize data warehouse performance

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringPythonSQLAWSData WarehousingData Pipeline ManagementNoSQLETL ToolsAI/MLDockerKubernetesJavaScalaSnowflakeDBTBigQueryFivetranSegmentAirflowData MiningData Modeling

Required

Bachelor’s degree in Computer Science, Engineering, or a related field
Minimum three years experience as a Data Engineer or in a similar role
Proficient with scripting and programming languages (Python, Java, Scala, etc.)
In-depth knowledge of SQL and other database related technologies such as NoSQL
Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
Experience with AWS cloud services (S3, RDS, Redshift, etc.)
Experience with data pipeline and workflow management tools such as Airflow
Strong negotiation and interpersonal skills: written, verbal, analytical
Motivated and influential – proactive with the ability to adhere to deadlines; work to 'get the job done' in a fast-paced environment
Self-starter with the ability to multi-task

Preferred

Master’s degree in Computer Science, Engineering, or a related field
Knowledge of Docker and Kubernetes to manage data applications in a scalable and efficient way
Proficiency with ETL (Extract, Transform, Load) tools like Apache NiFi, Talend, or Informatica is a big advantage
Experience with data science and analytics engineering is a plus
Experience with AI/ML in GenAI or data software - including vector databases - is a plus

Benefits

A commitment to fostering flexible hybrid work
A generous PTO policy with a minimum of three weeks off per year
Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
Travel to Denver 1x a year for annual Shift gathering
Fourteen (14) company holidays
Company Shutdown between Christmas and New Years
Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Company

SonderMind

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SonderMind is a mental healthcare provider that offers treatment for mental health through therapy and psychiatry.

H1B Sponsorship

SonderMind has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)

Funding

Current Stage
Growth Stage
Total Funding
$183.03M
Key Investors
General CatalystDioko VenturesKickstart
2021-07-28Series C· $150M
2020-04-06Series B· $27M
2019-04-23Series A· $3M

Leadership Team

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Mark Frank
Co-Founder & CEO
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Cid Dennis
Chief Technology Officer
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Company data provided by crunchbase
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