No more applications are being accepted for this job
- Develop and implement data pipelines and ETL processes to ensure data quality, reliability, and availability for analysis.
- Perform exploratory data analysis to gain insights into data patterns, trends, and relationships, using statistical methods.
- Identify relevant features and variables for predictive modeling and analysis.
- Data Engineering (ETL/ELT) Development
- Data Pipeline development in Python or similar languages.
- Knowledge of SCD, CDC, and core Data warehousing concepts.
- Develop and implement machine learning models and algorithms to solve business problems and extract actionable insights from data.
- Evaluate model performance, fine-tune parameters, and optimize algorithms to achieve desired outcomes.
- Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand business requirements and translate them into data-driven solutions.
- Bachelor's degree in computer science, Data Science, Statistics, or a related field.
- Strong background, 3+ years, in data engineering, including experience with data collection, preprocessing, and ETL processes.
- Desired 5+ years of proficiency in programming languages such as Python, SQL, and/or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, requests, etc..).
- Knowledge of machine learning techniques and algorithms, with practical experience in model development, evaluation, and deployment.
- Excellent problem-solving skills, critical thinking abilities, and attention to detail.
- Effective communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to diverse audiences.
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka).
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
- Knowledge of data visualization tools (e.g., Matplotlib, Tableau) and techniques.
- Understanding of software development principles and practices, including version control, testing, and deployment.
- Competitive base salary plus variable compensation and equity
- Generous paid parental leave, including adoptive leave
- Traditional comprehensive benefits, plus:
- Generous Paid Time Off
- Tuition reimbursement plan
- Family Formation benefit offered by Carrot
- Wellness programs and benefits provided by Modern Health
- Paid volunteer time off and donation matching for the causes you care about
- Home office stipend
- Opportunities for personal growth and professional development supported by a community of talented professionals
- An open, collaborative environment where your background and contributions are valued
- Experience at a growing public company where you can make an impact and achieve your goals
- Open offices and kitchens stocked with beverages and snacks
Data Engineer - Palo Alto, United States - Integration Appliance, Inc.
Description
We are seeking a talented and motivated Data Engineer with a background in Data Science to join our team. The ideal candidate will have a solid foundation in data engineering principles and practices, along with a passion for data analysis, machine learning, and problem-solving.
What you will do:
Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We're committed to creating a modern work environment that's connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:
Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.
Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain "" or "" to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.