Senior Data Engineer

Los Angeles, CA or Remote

Applications have closed
At InStride, we’re pioneering a new approach to workforce education. Our mission is to enable employers to provide life-changing education to their employees in partnership with the highest-quality global academic institutions. We unlock business and social impact to transform companies and people for the future. 
We believe that a company’s richest resource is their employees, and that investments in people yield the highest returns for individuals, businesses, and society as a whole. That’s why every InStride employee is eligible to enroll in 1,700+ online certificate and degree programs through our Step Forward program. Unlike traditional tuition reimbursement programs, InStride covers your tuition upfront, regardless of your course of study, degree type, or school. The Step Forward program, along with InStride’s best-in-class employee benefits, are available to all employees from the day they join InStride. 
Read further to see how you can be part of the movement to drive businesses and society forward through life-changing, best-in-class workforce education. 
Role Overview Reporting to the Manager of Engineering, this role will work with a mixed team of on-site and off-site software engineers to turn our Product roadmap into reality!

Responsibilities

  • Use subject matter expertise to be a thought-leader and problem solver in data engineering and data infrastructure engineering.
  • Provide hands-on technical leadership for a team of engineers to build, deliver and sustain a world-class data lakehouse platform and data fabric.
  • Act as a technical domain expert for data architecture, data modeling, and database queries while leading discussions and decisions.
  • Design data modeling and ETL solutions as blueprints for other engineers to follow.
  • Create data pipelines and transformations in AWS Glue, PySpark, or similar tools.
  • Implement tools and/or frameworks using engineering standard methodologies for software development, agile, security, accessibility, compliance, performance, HADR, etc.
  • Mentor junior engineers and work collaboratively to develop and build upon the skills of all team members.
  • Write well-designed, testable, and efficient code.
  • Help define, contribute, and support the role of data in InStride’s broader Technology strategy.

Idea Profile

  • 3+ years of software engineering experience delivering large-scale, global, high traffic, and highly available consumer-facing web applications, and mobile apps.
  • Hands-on experience with big data platforms such as Snowflake, Spark, Hadoop.
  • 2+ years experience writing production Python code.
  • 2+ year experience is plus in implementing and maintaining AWS services such as EC2, RDS, Mem caches, S3, ECS, and Lambda.
  • Proven experience in Databases such as NoSQL/RDBMS, MongoDB, Redis, MySQL, PostgreSQL, Aurora and Elastic-Search.
  • Mid to Expert level experiences in building ETL jobs and data pipelines using one or more: Spark, AWS Glue, Kafka/RabbitMQ/Kinesis, Airflow, SNS, SQS, NA.
  • Excited by the challenge of building a world-class business that delivers not only high revenue growth but also has a meaningful impact on society!
  • Exposure to higher education institutions through direct experience and/or passion for the education space.
  • Comfort with ambiguity and a “no job too small” startup mentality.
  • Bachelor’s degree in quantitative: Computer Science, Engineering, Data Science, Math, Statistics, or related fields.We will substitute work experience in lieu of education.
InStride is a Los Angeles based company, but for certain roles we are open to hiring remote employees. If you are looking to apply to one of our remote opportunities, please know that InStride is only able to employ candidates from the following states.
ArizonaCaliforniaFloridaIllinoisLouisianaMarylandMassachusettsMichiganMissouriNevadaNew HampshireNew JerseyNew YorkOhioTexasWashingtonWisconsin
InStride is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please discuss your requested accommodation with our HRBP.
Effective November 1, 2021, all new hires must be fully vaccinated against the COVID-19 virus unless they have been granted a reasonable accommodation. If you are offered employment, this requirement must be met by your date of hire, unless a reasonable accommodation is approved by the People & Talent team in writing. 
For questions on how we use personal information of job applicants, please refer to InStride's Job Applicant Privacy Policy.

* Salary range is an estimate based on our salary survey 💰

Tags: Agile Airflow AWS Big Data Computer Science Data pipelines EC2 ECS Engineering ETL Hadoop Kafka Kinesis Lambda MongoDB MySQL NoSQL Pipelines PostgreSQL PySpark Python RDBMS Security Snowflake Spark Statistics

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  6  0  0
Category: Engineering Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.