Data Ideology

Data Ideology

2 open positions available

1 location
2 employment types
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Full-time
Contract

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Data Ideology

Senior Data Engineer (Snowflake)

Data IdeologyAnywhereFull-time
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Compensation$120K - 160K a year

Design, implement, and optimize Snowflake data platforms, lead client engagements, develop data pipelines, and mentor junior engineers. | 7+ years data engineering experience, 3+ years hands-on Snowflake, strong SQL and Python, dbt experience, cloud platform familiarity, consulting experience, and SnowPro Core Certification. | Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious. For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) - Full-time Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake. This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership. Responsibilities To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs. • Design and build scalable, secure, and cost-effective data solutions in Snowflake. • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services. • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans. • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs). • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management. • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake. • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks. • Contribute to internal accelerators, frameworks, and proofs of concept. • Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities: None Qualifications: Education and Experience: • 7+ years of experience in data engineering, data warehousing, or data architecture. • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.). • Strong SQL and Python skills, with production experience using dbt. • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.). • Prior experience in a consulting or client-facing delivery role. • Excellent communication skills, with the ability to collaborate across technical and business stakeholders. • SnowPro Core Certification required (or willingness to obtain upon hire); advanced Snowflake certifications preferred. Work Environment: • Remote work from home. • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. Physical Demands: • Must be able to remain in a stationary position 50% of the time. • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. Benefits: • Flexible Time Off Policy • Eligibility for Health Benefits • Retirement Plan with Company Match • Training and Certification Reimbursement • Utilization Based Incentive Program • Commission Incentive Program • Referral Bonuses • Work from Home Data Ideology is an EEO Employer

Snowflake
SQL
Python
dbt
Cloud platforms (AWS, Azure, GCP)
Data engineering
Data warehousing
Performance tuning
Consulting/client-facing delivery
Verified Source
Posted 3 months ago
DI

Sr. Data Analyst

Data IdeologyAnywhereContract
View Job
Compensation$Not specified

Conduct in-depth analysis using the data warehouse to identify trends and insights while collaborating with cross-functional teams. Ensure business requirements are fulfilled throughout the data & analytics lifecycle. | A bachelor's degree in a healthcare or computer science-related field is preferred, along with 5+ years of experience in data analytics and programming languages. Healthcare experience and Agile/SAFe experience are considered a plus. | Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com Sr. Data Analyst - Contract We are looking for Data Analytics Consultants to join our growing team. A Data Analytics Consultant will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle. Key Responsibilities Data Analysis and Interpretation: Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights. Interpret complex data sets and communicate findings to both technical and non-technical stakeholders. Data Extraction and Transformation: Assist with ETL processes to extract, transform, and load data from various sources. Collaborate with IT teams to create seamless data integrations. Quality Assurance and Testing Perform thorough data validation and testing to ensure the highest possible data quality. Clearly define and communicate when quality standards are not being met. Problem Solving Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem. Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability. Collaboration and Communication: Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables. Effectively prioritize tasks to meet established team goals. Documentation: Accurately document data mappings and definitions. Outline standard processes and procedures of core activities Qualifications Education and Experience: Bachelor’s degree in healthcare or computer science related field preferred, but not necessary. 5+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc) 5+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake) Healthcare experience a plus Agile/SAFe experience a plus Work Environment: Remote work from home. Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. Physical Demands: Must be able to remain in a stationary position 50% of the time. The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. Benefits: PTO Policy Eligibility for Health Benefits Retirement Plan Work from Home Data Ideology is an EEO Employer

Data Analysis
Data Interpretation
ETL Processes
Data Validation
Problem Solving
Collaboration
Communication
Documentation
SQL
PLSQL
R
Python
Oracle
Snowflake
Agile
SAFe
Direct Apply
Posted 3 months ago

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