Data Engineer
Spectraforce
US
Remote
4 hours ago
Job Description
Role: Data Engineer
Location: Complete Remote
Duration: 6 Months
Day for this contractor will look like:
This contract worker will be a part of our core team working on Enterprise Analytics. This includes internal measurement of internal agents tool and other needs of the business. They will be working on a small, close-knit team and have key deliverables assigned to them.
Top Skills:
We are looking for an experienced data engineer who is experienced with python, spark, SQL, Snowflake, Airflow, dbt, and AWS as examples of technologies we work with daily. Accountability is key on this team and they will need to be able to deliver and communicate status.
As a Data Engineer, you will play a pivotal role in acquiring, cleaning, and structuring data from diverse sources, enabling our organization to derive actionable insights and make informed decisions. You will collaborate closely with analysts, other engineering teams, and stakeholders to ensure the optimal design and delivery of BI solutions, reports, dashboards, KPIs, and alerts. Your expertise in data visualization, analysis, and integration will be critical in uncovering trends, patterns, and opportunities for product enhancements.
Responsibilities:
How many years of experience would you consider overqualified? NA
How many years of experience would you consider underqualified? 2 years
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $65.00/hr.
Location: Complete Remote
Duration: 6 Months
Day for this contractor will look like:
This contract worker will be a part of our core team working on Enterprise Analytics. This includes internal measurement of internal agents tool and other needs of the business. They will be working on a small, close-knit team and have key deliverables assigned to them.
Top Skills:
- Experience working at other tech companies as a data engineer with cloud technologies is valuable.
- Must have skills: Python, Spark, SQL, Snowflake, Airflow, DBT, AWS, Shell Scripting
- Teachable skills: Data Cloud, Salesforce Platform
- Optional skills: Tableau
We are looking for an experienced data engineer who is experienced with python, spark, SQL, Snowflake, Airflow, dbt, and AWS as examples of technologies we work with daily. Accountability is key on this team and they will need to be able to deliver and communicate status.
As a Data Engineer, you will play a pivotal role in acquiring, cleaning, and structuring data from diverse sources, enabling our organization to derive actionable insights and make informed decisions. You will collaborate closely with analysts, other engineering teams, and stakeholders to ensure the optimal design and delivery of BI solutions, reports, dashboards, KPIs, and alerts. Your expertise in data visualization, analysis, and integration will be critical in uncovering trends, patterns, and opportunities for product enhancements.
Responsibilities:
- Build and maintain complex data pipelines that integrate data from a wide variety of sources, including APIs, Salesforce, AWS, Data Cloud, and databases.
- Design and develop optimized data models and scalable data structures in Salesforce Data Cloud and Snowflake to support reliable analytics, reporting, and downstream data products.
- Perform comprehensive data profiling to identify data gaps and continuously improve data quality across ingestion and transformation layers.
- Implement robust data transformation logic to convert raw data into golden records and trustworthy analytical datasets.
- Build automated data quality checks and validation rules within pipelines to ensure accuracy, completeness, and consistency of critical datasets.
- Partner with product analysts, product engineering, and other stakeholders to understand instrumentation needs for insights and analytics.
- Collaborate with data architects to define and maintain data governance, naming standards, and data lineage documentation.
- BS/MS degree in Computer Science, Engineering or a related field.
4+ years of experience in data engineering or ELT/ETL development using SQL, Shell Scripting, Python, and Java. - Strong proficiency in Apache Spark, Python, and advanced SQL for large-scale data transformation and analytics.
- Hands-on experience with Apache Airflow or equivalent orchestration tools for managing data workflows.
- Experience with dbt for building and managing modular, version-controlled, and tested data transformations.
- Proven ability to build, deploy, and optimize data pipelines on AWS infrastructure.
- Experience with data lakehouse architectures and familiarity with modern data mesh principles.
- Strong analytical skills with the ability to work with complex data models, derive insights, and recommend actionable strategies.
- Familiarity with Salesforce data models and processes is a plus.
- Proficient in Tableau for developing interactive dashboards and visual storytelling.
- Exposure to data governance, metadata management, and data cataloging tools.
- Ability to work effectively in an agile, distributed, and fast-paced environment, and have a high degree of self-management with clear communication and commitment to delivery timelines.
How many years of experience would you consider overqualified? NA
How many years of experience would you consider underqualified? 2 years
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $65.00/hr.