Excelon Solutions
Data Engineer & Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer & Data Scientist contract position (W2) in the SF Bay Area or Austin, TX, offering a pay rate of "unknown". Requires 5+ years in data science/engineering, strong SQL and Python skills, and experience in privacy compliance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, Texas Metropolitan Area
-
🧠 - Skills detailed
#Data Governance #Compliance #Databases #Cloud #Metadata #Data Engineering #Business Objects #Airflow #Tableau #dbt (data build tool) #Data Pipeline #Programming #Visualization #BI (Business Intelligence) #Forecasting #Data Quality #Redis #Anomaly Detection #Data Stewardship #BO (Business Objects) #Oracle #Data Analysis #Snowflake #Python #Data Management #Pandas #Kafka (Apache Kafka) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Spark (Apache Spark) #Data Science #ML (Machine Learning)
Role description
Tittle: Data Engineer & Data Scientist
Location: SF Bay Area or Austin, TX(Onsite)
Mode: Contract ( W2 role)
Data Scientist : towards ML algorithms with Python experience.
Key Responsibilities:
Data Science & Analytics:
Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, Have hands on experience in conducting exploratory data analysis to surface insights
Have familiarity with building an maintaining forecasting models
Translate complex analytical outputs in clear, actionable recommendations for business audience
Required Skills
5+ years of experience across data science, data engineering, or analytics — with experience in privacy, compliance domain
Strong proficiency in SQL and Python (pandas, scikit-learn, stats models, or similar)
Familiarity with causal inference methods and experiment design
Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
Experience with data governance practices — data quality, metadata management, or data stewardship
Ability to communicate complex findings clearly to non-technical stakeholders
Data Engineer : towards reporting/creating business intelligence report with Python exp.
Minimum Qualification
Data engineering and BI experience using databases like Oracle, Postgres, Snowflake
Experience with Kafka and Redis
Programming experience in building high-quality software with Python
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
Preferred Qualification
Cloud technology experience on platforms like AWS, Google Cloud
Data Visualization Tools: experience in software such as Tableau, Business Objects
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.
Tittle: Data Engineer & Data Scientist
Location: SF Bay Area or Austin, TX(Onsite)
Mode: Contract ( W2 role)
Data Scientist : towards ML algorithms with Python experience.
Key Responsibilities:
Data Science & Analytics:
Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, Have hands on experience in conducting exploratory data analysis to surface insights
Have familiarity with building an maintaining forecasting models
Translate complex analytical outputs in clear, actionable recommendations for business audience
Required Skills
5+ years of experience across data science, data engineering, or analytics — with experience in privacy, compliance domain
Strong proficiency in SQL and Python (pandas, scikit-learn, stats models, or similar)
Familiarity with causal inference methods and experiment design
Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
Experience with data governance practices — data quality, metadata management, or data stewardship
Ability to communicate complex findings clearly to non-technical stakeholders
Data Engineer : towards reporting/creating business intelligence report with Python exp.
Minimum Qualification
Data engineering and BI experience using databases like Oracle, Postgres, Snowflake
Experience with Kafka and Redis
Programming experience in building high-quality software with Python
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
Preferred Qualification
Cloud technology experience on platforms like AWS, Google Cloud
Data Visualization Tools: experience in software such as Tableau, Business Objects
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.
