US - D&A local

Who You'll Work With

As a modernized technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies. Slalom East Bay is looking for entrepreneurial and progressive consultants to join our team.

What You'll Do

• As a Data Engineer for Slalom Consulting, you'll work in small teams to deliver data pipelines and data models for our clients. You will design and build highly scalable and reliable modern data platforms including data lakes and data warehouse using technologies such as Amazon Web Services, Azure, Google Cloud.

• Your work will include a variety of core data warehousing platforms like Hadoop, Snowflake, Redshift, Databricks, etc. and core pipelining languages like Python, Spark, etc. and use modern orchestration engines like Airflow, etc.

• In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in the data space.

What You'll Bring

• A passion for data and collaborating with clients and internal teammates to solve problems and get things done.

• A continuous learner mentality and excitement for technology

• Deep programming skills in one of modern object-oriented data pipelining languages like Python or Java

• Experience with code management tools (e.g. Git, SVN) and DevOps tools (e.g. Docker, Bamboo, Jenkins)

• Experience with workflow orchestration platforms such as Airflow, Glue and Dataflow

• Understanding of different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)

• Understanding of data architecture concepts such as data modeling, metadata, workflow management, ETL/ELT, real-time streaming), data quality

• Familiarity or strong desire to learn quantitative techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)

• Understanding of agile project approaches and methodologies

• Understanding of basic testing types

• Experience working with SQL on relational databases

• Strong aptitude for learning new technologies and techniques and strong problem-solving skills

• Capability to conduct performance troubleshooting and remediation

About Us

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 40 markets around the world, Slalom'steams have autonomy to move fast and do what's right. They are backed byregional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers.

Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 9,000 employees. Slalom has been named one of Fortune's 100 Best Companies to Work For five years running and is regularly recognized byemployees as a best place to work. Learn more at slalom.com.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance.

Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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