Software Engineer - Data Engineer with strong Scala and Spark, Hybrid, W2 only.
Role details
Job location
Tech stack
Job description
- Deliver high quality, timely, cost effective, and maintainable software solutions meeting functional and non-functional requirements.
- Participate in application and transformation and aggregation and contribute to implementation as part of a cross-functional agile team.
- Apply engineering practices including code and design reviews to ensure standards and efficient coding.
- Build monitoring and alerting to detect failures and potential performance degradation.
- Analyze issues and make timely decisions using facts, knowledge, experience, and judgment.
- Collaborate with business and technology stakeholders and present to peers and leadership.
- Contribute to DevOps practices supporting CI/CD and infrastructure automation.
- Guide and motivate fellow engineers while acting independently under minimal direc
Requirements
The organization seeks a senior data-focused software engineer to build and enhance performance measurement and analysis platforms within a wealth management domain. The role emphasizes strong Spark Scala SQL, some level of Java for a data transformation engine, and data engineering across Snowflake, Oracle, and Spark with AWS exposure. You will deliver scalable ETL and cloud-native solutions, contribute to design and code reviews, and collaborate within an agile team to advance a high-visibility investment performance platform.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 8+ years of design and development experience in technology domains.
- Very strong SQL expertise.
- Java experience sufficient to read and modify existing data transformation engine code.
- Experience with Snowflake (preferred).
- Experience with Spark Scala or PySpark with Dataframes (they are not using SparkSQL).
- Strong Experience with SQL prefer Oracle.
- Experience in object-oriented development with Scala, and/or Java and/or Python (in a data heavy environment).
- Hands-on experience with AWS Services. Docker, and EKS ( EMR preferred where noted).
- Proven delivery of scalable and robust ETL solutions, data lakes, and business intelligence.
- Strong design and analysis skills for large data platforms.
- Experience with DevOps and CI/CD tools such as Maven, Jenkins, GitHub, Terraform, Docker, and Artifactory.
- Background working within an agile scrum environment.
- Excellent interpersonal, communication, collaboration, and organizational skills.
- Financial services industry experience (preferred)
Education Requirements:
- Bachelor's or Master's degree in a technology-related field such as Engineering or Computer Science.
- AWS-related certifications (preferred).
Benefits & conditions
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.