Houston
$145000 - $155000
+ Data Engineering
Permanent
Houston, Texas
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Title: Senior Data Engineer
Location: Houston, TX 77077 – Onsite 4 days per week.
Overview of Role:
As Senior Data Engineer, you will be responsible for helping to scale, implement, and architect new AI/ML initiatives at the enterprise level. This role is part of a brand new team as our client’s business grows. This role is a combination of systems engineering, data analytics, and data integration.
Company Description:
Our client manages a large portfolio of companies and has a large focus on upholding integrity and being held accountable to the highest ethical standards. They are committed to fostering a culture of open communication, teamwork, and personal development.
Role Description:
- Design and implement scalable, reliable data pipelines using technologies like Apache Spark, Hadoop, and Kafka.
- Knowledge of AWS or Azure services (e.g., EC2, RDS, S3, Lambda, Azure Data Lake) for efficient data handling and processing.
- Develop and optimize data models and storage solutions (SQL, NoSQL, Data Lakes) to ensure data quality and accessibility for operational and analytical applications.
- Automate data workflows with ETL tools and frameworks (e.g., Apache Airflow, Talend) for efficient data integration and timely availability.
- Collaborate with data scientists, providing the necessary infrastructure and tools for complex analytical models, using Python or R.
- Ensure data governance and security compliance, implementing best practices in encryption, masking, and access controls within a cloud environment.
Skills and Experience:
- Bachelor’s degree in Computer Science, MIS, or equivalent education/experience.
- Extensive background and experience in ETL/ELT pipelining.
- 3+ years of big data technology (Hadoop, Spark, Kafka), as well as cloud services (AWS preferred, Azure, GCP) in a storage/processing capacity.
- Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark).
- Relational database management system Software (RDBMS) experience
- ML model deployment experience is a plus!
- Nice to have certifications: AWS Certified Solutions Architect, Azure Data Engineer Associate, Databricks Certified Associate Developer for Apache Spark.
Benefits:
- Health, Dental, and Vision Insurance
- 15+ Days of PTO Annually
- Educational Assistance available
- Annual bonus
- 401(k) Matching Program
Please note: Candidates must be authorized to work in the United States to be considered at this time.
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Dallas
$115000 - $125000
+ Data Science & AI
Permanent
Dallas, Texas
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Location: Fort Worth or Dallas (Addison) or Charlotte, NC. – Hybrid – 2 Days per week in office.
Overview: The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Our client is seeking a Data Scientist with 2-3 years of experience in building financial models, particularly in risk and loan modeling. The ideal candidate will have a background in banking or fintech with exposure to regulated data.
Company Description:
Our client is a mid-size fintech company specialized in assisting their clients build their credit.
Key Responsibilities:
- Develop and maintain financial models, with a focus on risk modeling and loan modeling.
- Work in a Python environment, leveraging standard data science packages.
- Process and analyze large amounts of data using Snowflake and SQL.
- Replace legacy models with new, more efficient models.
- Collaborate with the team to build infrastructure for model retraining.
- Potentially use visualization tools like Power BI or Looker for data presentation.
- Occasionally present findings and models to leadership.
Qualifications:
- 2-3 years of experience building financial models, preferably in a banking or fintech setting.
- Knowledge of material data and experience with linear and non-linear models.
- Experience working with regulated data.
- Familiarity with data processing in Snowflake and SQL.
- Proficiency in Python, with previous experience in R being a plus.
- Ability to work both independently and collaboratively in a team environment.
- Excellent communication skills, with the ability to present complex ideas to non-technical stakeholders.
- Bachelor’s degree in a related field, with a Master’s degree preferred.
Benefits:
- Healthcare, Dental, and Vision plans available.
- 15% yearly bonus.
- 15+ days of paid PTO annually.
- 11 paid holidays.
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Tempe
$120000 - $125000
+ Data Science & AI
Permanent
Tempe, Arizona
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Data Scientist
Remote
120K-130K BASE SALARY
Are you looking for an opportunity to work at a company that values creativity? Do you have an understanding of risk management concepts and have training in statistical methods such as predictive modeling or probability theory? This real estate company is looking for an individual who is ready to take on the role of being a Principal Data Scientist.
THE COMPANY:
This company functions in the real estate space and has the goal of improving the rental and buying customer experience. They admire creativity and aim to partner with stakeholders to drive results. In this role, you will help the growth of the company with your ability to tell a compelling story with data.
THE ROLE:
· Gather, organize, and interpret structured and unstructured data from multiple internal and external sources
· Communicate with stakeholders across different business units
· Build predictive and advanced statistical models to work on projects revolving around forecasting, risk management, predicting the likelihood of customer behavior, and more
· Proven ability to create presentations to use data to drive change
· Ability to work in a fast-paced, flexible environment and share creative ideas
Strong proficiency in SQL, Python, and Snowflake
· Experience in maintaining, adjusting and working with statistical models. And has experience with Ad-Hoc Analysis.
· Ideally someone has experience working experience with regulated data/ in a regulated industry
· Knowledge of data implementation and pulling datasets
· End-to-end model building experience – including but not limited to model optimization, A/B testing, experimental design
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Dallas
$190000 - $210000
+ Data Engineering
Permanent
Dallas, Texas
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As the Senior Director of Analytics Engineering, you will turn business asks into analytics and engineering challenges, resolve them, and then communicate the insights to the relevant stakeholders. You will play a crucial role in leveraging data to drive business decisions and innovation. This is a very hands-on role where technical abilities are just as key as management skills.
Key Responsibilities:
- Lead and manage the offshore analytics team, including hiring, training, and performance management.
- Develop and maintain robust, scalable, and efficient data pipelines using Snowflake, SQL, Tableau, and DBT.
- Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions.
- Ensure data quality, integrity, and security across all analytics solutions.
- Manage and optimize ETL processes and workflows.
- Stay up-to-date with industry best practices and technologies in analytics and data engineering.
- Manage relationships with offshore team members and ensure effective communication and collaboration.
Skills and Experience:
- Bachelor’s degree in a technical field; advanced degree preferred.
- At least 8 years of experience in analytics or a related field.
- Experience managing an offshore team.
- Strong proficiency in Snowflake, SQL, Tableau, and DBT.
- Experience with coding in Python or R is a plus.
- Working knowledge of a cloud platform (preferably AWS or Azure).
- Knowledge of Github and experience with version control.
- Excellent communication and leadership skills.
- Knowledge of Databricks is a big plus!
Benefits:
- Healthcare, vision, and dental insurance coverage.
- 401(k) matching available.
- PTO program.
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Houston
$160000 - $200000
+ Data Science & AI
Permanent
Houston, Texas
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Company Description:
Our client operates in the automotive/retail/ supply chain space and is seeking a Lead Data Scientist with heavy logistics and supply chain industry experience. A background in working with logistics and supply chain data, as well as working on end-to-end data science projects is important for this position.
Role Description:
- Translate business needs into analytics/reporting requirements for data-driven decisions.
- Stay updated with the latest data science techniques and technologies, implementing innovative solutions to enhance data analysis and modeling capabilities.
- Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences.
- Manage use case design and build teams, providing guidance as they develop and operationalize data science models.
- Ensure analytical insights and products are integrated into business processes.
- Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards.
- Provide input to the long-term plan for the Data Science team, focusing on talent acquisition and technology platforms.
- Foster a culture of innovation and continuous improvement, exploring and adopting new data science technologies and methodologies.
- Work with business and technical stakeholders to identify new technologies and opportunities that deliver measurable business value.
- Own the analytics solution portfolio, including model maintenance and improvements over time.
Skills and Experience:
- Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 7+ years experience in a data science or similar role
- Industry experience working with logistics and supply chain data
- Strong proficiency in Python and SQL
- Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. (PyTorch, Tensorflow, NumPy, etc.)
- Strong communication skills with experience presenting to stakeholders and breaking down technical topics to non-technical team members
- Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark)
- Recent leadership experience with direct reports
- Good understanding of programming best practices and building highly automated CI/CD pipelines
