Data Engineer
What are we looking for in our Data Engineer?
Our client, a global retail company, is seeking a Senior Data Engineer.
Apply today for consideration!
Job Title: Senior Data Engineer
Location: Beaverton, OR 97005
Duration: 11+ Months
Pay Range: $55 - $63 /hour on w2 DOE
Responsibilities
• Python programmers/developers who done extensive hands-on work in data engineering space
• Willingness to quickly learn and adapt.
• Experience in solutioning and implementing data pipelines, data curation, data modeling and implementing data solutions.
• Strong understanding of different type of data and the lifecycle of data.
• Design, develop, and launch extremely efficient and reliable data pipelines using Python frameworks to move data and to provide intuitive analytics to our partner teams.
• Collaborate with other engineers and Data Scientists to Client for the best solutions.
• Diagnose and solve issues in our existing data pipelines and envision and build their successors.
Required Qualifications
• Bachelor’s degree in Computer Science or equivalent work experience.
• Minimum 8+ years experience in IT
• 6+ years Proficiency working with Python specifically related to data processing with proficiency in Python Libraries - Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, Json.
• 4+ years experience in Data Warehouse technologies – Databricks and Snowflake
• 4+ years Strong SQL (SQL, performance, Stored Procedures, Triggers, schema design) skills and knowledge of one of more RDBMS and NoSQL DBs like MSSQL/MySQL and DynamoDB/MongoDB/Redis.
• 4+ years in designing, developing and managing REST APIs.
• 2+ years Strong AWS skills using AWS Data Exchange, Athena, Cloud Formation, Lambda, S3, AWS Console, IAM, STS, EC2, EMR
• 2+ years ETL tools like Apache Airflow/AWS Glue/Azure Data Factory/Talend/Alteryx
• 1+ year in Hadoop, Hive
• Excellent verbal communication skills.
• Knowledge of DevOps/Git for agile planning and code repository
Note:
On-site role at WHQ; typical business hours, WFH Fridays; some flexibility with schedule
Bachelor’s Degree In Computer Science Preferred, Not Required
Databricks certification nice to have, not required
5-7 years’ experience in a data engineering role
Top skills include the following:
Python
Databricks
Snowflake
PySpark
SQL
Soft skills required:
Excellent verbal and written communication skills (frequent stakeholder engagement)
Someone who can come up with suggestions, not just an “order taker”
Prior experience in a Client role utilizing Databricks will be HIGHLY preferred
AWS expertise and experience building data pipelines will also be preferred
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
Rate/Salary: $55 - $63 /hour on w2 DOE
What are we looking for in our Data Engineer?
Our client, a global retail company, is seeking a Senior Data Engineer.
Apply today for consideration!
Job Title: Senior Data Engineer
Location: Beaverton, OR 97005
Duration: 11+ Months
Pay Range: $55 - $63 /hour on w2 DOE
Responsibilities
• Python programmers/developers who done extensive hands-on work in data engineering space
• Willingness to quickly learn and adapt.
• Experience in solutioning and implementing data pipelines, data curation, data modeling and implementing data solutions.
• Strong understanding of different type of data and the lifecycle of data.
• Design, develop, and launch extremely efficient and reliable data pipelines using Python frameworks to move data and to provide intuitive analytics to our partner teams.
• Collaborate with other engineers and Data Scientists to Client for the best solutions.
• Diagnose and solve issues in our existing data pipelines and envision and build their successors.
Required Qualifications
• Bachelor’s degree in Computer Science or equivalent work experience.
• Minimum 8+ years experience in IT
• 6+ years Proficiency working with Python specifically related to data processing with proficiency in Python Libraries - Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, Json.
• 4+ years experience in Data Warehouse technologies – Databricks and Snowflake
• 4+ years Strong SQL (SQL, performance, Stored Procedures, Triggers, schema design) skills and knowledge of one of more RDBMS and NoSQL DBs like MSSQL/MySQL and DynamoDB/MongoDB/Redis.
• 4+ years in designing, developing and managing REST APIs.
• 2+ years Strong AWS skills using AWS Data Exchange, Athena, Cloud Formation, Lambda, S3, AWS Console, IAM, STS, EC2, EMR
• 2+ years ETL tools like Apache Airflow/AWS Glue/Azure Data Factory/Talend/Alteryx
• 1+ year in Hadoop, Hive
• Excellent verbal communication skills.
• Knowledge of DevOps/Git for agile planning and code repository
Note:
On-site role at WHQ; typical business hours, WFH Fridays; some flexibility with schedule
Bachelor’s Degree In Computer Science Preferred, Not Required
Databricks certification nice to have, not required
5-7 years’ experience in a data engineering role
Top skills include the following:
Python
Databricks
Snowflake
PySpark
SQL
Soft skills required:
Excellent verbal and written communication skills (frequent stakeholder engagement)
Someone who can come up with suggestions, not just an “order taker”
Prior experience in a Client role utilizing Databricks will be HIGHLY preferred
AWS expertise and experience building data pipelines will also be preferred
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
Rate/Salary: $55 - $63 /hour on w2 DOE
